{"id":"W2886591811","doi":"10.1515/jqas-2018-0064","title":"Rao-Blackwellizing field goal percentage","year":2019,"lang":"en","type":"article","venue":"Journal of Quantitative Analysis in Sports","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Shot (pellet); Estimator; Statistics; Field (mathematics); Variance (accounting); Point (geometry); Trajectory; Mathematics; Computer science; Tracking (education); Algorithm; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001434312,0.0001345536,0.0008291558,0.001274331,0.00003103803,0.00004792104,0.0002100198,0.0000729498,0.003583789],"category_scores_gemma":[0.00005894742,0.0001304181,0.0004885996,0.0009544025,0.00002488529,0.0003906099,0.00002599003,0.000278422,0.0001188189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007563641,"about_ca_system_score_gemma":0.00002391608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001514211,"about_ca_topic_score_gemma":0.00007745662,"domain_scores_codex":[0.9981433,0.0000114909,0.001281445,0.0002221308,0.0001222571,0.0002193955],"domain_scores_gemma":[0.9982913,0.00008633028,0.001230997,0.0002319791,0.0000879311,0.00007151201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004407233,0.00007443776,0.9651532,0.00001253216,0.0002962902,0.00006856854,0.0006437414,0.01107175,0.00001327276,0.02219731,0.0002698909,0.00015493],"study_design_scores_gemma":[0.0005712947,0.0002442777,0.9406068,0.00006069382,0.000154596,0.000009975499,0.001202298,0.03764876,0.00003296422,0.0039597,0.01522115,0.0002874454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9856346,0.001483152,0.003064191,0.0002238367,0.0003587416,0.00005841943,0.000007816025,0.000002887694,0.009166406],"genre_scores_gemma":[0.9968264,0.001152346,0.0007917109,0.0002721787,0.00005954089,5.372906e-7,0.000004570474,0.00001131535,0.0008813769],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02657702,"threshold_uncertainty_score":0.9973271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02881793989458552,"score_gpt":0.2780447612249283,"score_spread":0.2492268213303428,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}