Table 2.

Detection summary.

CatagoryaNum. predictionsbNum. expectationscNum. detectionsd
SI10 (39)|$7.8_{-1.7}^{+3.5}$|4 (4)
CI8 (20)|$4.2_{-0.4}^{+1.2}$|0 (0)
CE17 (17)|$2.2_{-0.6}^{+1.8}$|1 (1)
SE21 (21)|$0.65_{-0.2}^{+0.8}$|0 (0)
CatagoryaNum. predictionsbNum. expectationscNum. detectionsd
SI10 (39)|$7.8_{-1.7}^{+3.5}$|4 (4)
CI8 (20)|$4.2_{-0.4}^{+1.2}$|0 (0)
CE17 (17)|$2.2_{-0.6}^{+1.8}$|1 (1)
SE21 (21)|$0.65_{-0.2}^{+0.8}$|0 (0)

a‘S’ (C) – the systems are sparse (complete); ‘I’(E) – the systems need (do not need) insertion. For detailed definition of each category, see Section 2.

bThe first number indicates the number of systems predicted, the second number indicates the total number of planets predicted in these systems.

cThe expected number of planets to be detected after accounting observational bias. We estimate this using the most likely Rayleigh distribution for inclination with |$\sigma _i = 1.8_{-0.8}^{+0.5}\,^{\circ }$| and the turnover power law for size correction. The upper bound and lower bound are 3σ limitations. We note that if using an inclination distribution suggested by Figueira et al. (2012), the expected number of predicted planets would be even higher.

dThe detected number of systems (planets) that match the predictions.

Table 2.

Detection summary.

CatagoryaNum. predictionsbNum. expectationscNum. detectionsd
SI10 (39)|$7.8_{-1.7}^{+3.5}$|4 (4)
CI8 (20)|$4.2_{-0.4}^{+1.2}$|0 (0)
CE17 (17)|$2.2_{-0.6}^{+1.8}$|1 (1)
SE21 (21)|$0.65_{-0.2}^{+0.8}$|0 (0)
CatagoryaNum. predictionsbNum. expectationscNum. detectionsd
SI10 (39)|$7.8_{-1.7}^{+3.5}$|4 (4)
CI8 (20)|$4.2_{-0.4}^{+1.2}$|0 (0)
CE17 (17)|$2.2_{-0.6}^{+1.8}$|1 (1)
SE21 (21)|$0.65_{-0.2}^{+0.8}$|0 (0)

a‘S’ (C) – the systems are sparse (complete); ‘I’(E) – the systems need (do not need) insertion. For detailed definition of each category, see Section 2.

bThe first number indicates the number of systems predicted, the second number indicates the total number of planets predicted in these systems.

cThe expected number of planets to be detected after accounting observational bias. We estimate this using the most likely Rayleigh distribution for inclination with |$\sigma _i = 1.8_{-0.8}^{+0.5}\,^{\circ }$| and the turnover power law for size correction. The upper bound and lower bound are 3σ limitations. We note that if using an inclination distribution suggested by Figueira et al. (2012), the expected number of predicted planets would be even higher.

dThe detected number of systems (planets) that match the predictions.

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