{"id":"W2950411125","doi":"10.48550/arxiv.1808.04871","title":"Rao-Blackwellizing Field Goal Percentage","year":2018,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Shot (pellet); Estimator; Variance (accounting); Statistics; Field (mathematics); Point (geometry); Trajectory; Computer science; Mathematics; Tracking (education); Single shot; Algorithm; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003893848,0.0009670486,0.0009828846,0.001289294,0.0003273183,0.001949999,0.001440685,0.0009831992,0.003663565],"category_scores_gemma":[0.02140567,0.0005449766,0.0006622381,0.0008460395,0.001033932,0.001807637,0.001328732,0.001542761,0.001486728],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008910954,"about_ca_system_score_gemma":0.001372862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0173224,"about_ca_topic_score_gemma":0.02086475,"domain_scores_codex":[0.9984174,0.0004709458,0.0001036051,0.0005405815,0.000281024,0.0001865485],"domain_scores_gemma":[0.9884299,0.006568087,0.001390431,0.001830964,0.00142333,0.0003572008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004568782,0.0002057277,0.09054806,0.000257858,0.0003430633,0.0001415973,0.0003904825,0.6577047,0.003885808,0.02843694,0.00663202,0.2109969],"study_design_scores_gemma":[0.00001676764,0.00009612159,0.02229613,0.00004478313,0.00002981982,0.00006124643,0.00009494268,0.9595949,0.002933861,0.01285328,0.001930414,0.00004760052],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2283018,0.0004363738,0.7628193,0.0004582239,0.00008409934,0.00005219954,0.001265695,0.00159026,0.004991962],"genre_scores_gemma":[0.8888549,0.0003239868,0.1008111,0.0001493889,0.00009129686,0.00007747111,0.002929039,0.0002022031,0.006560654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0173224,"threshold_uncertainty_score":0.03444314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08713249099346106,"score_gpt":0.1788078449827159,"score_spread":0.09167535398925482,"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."}}