{"id":"W2120781247","doi":"10.2139/ssrn.1736633","title":"How Much Trouble is Early Foul Trouble? Strategically Idling Resources in the NBA","year":2012,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Basketball; Value (mathematics); Meaning (existential); Quarter (Canadian coin); Marketing; Operations research; Advertising; Face (sociological concept); Association (psychology); Computer science; Business; Economics; Operations management; Engineering; Psychology; Sociology; History; Machine learning; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002189278,0.0002024232,0.000566089,0.001172221,0.003927022,0.008696199,0.0009816329,0.001997596,0.01573414],"category_scores_gemma":[0.01430313,0.0001919864,0.0001956327,0.002145439,0.003913,0.004945981,0.003986683,0.002668957,0.001288981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008569849,"about_ca_system_score_gemma":0.007903758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3251584,"about_ca_topic_score_gemma":0.4261948,"domain_scores_codex":[0.9982724,0.0004030837,0.00006456464,0.000219508,0.0002648231,0.0007755598],"domain_scores_gemma":[0.994615,0.00126666,0.000730302,0.0002546177,0.0007707871,0.00236258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00057763,0.0001787052,0.1089404,0.0001516579,0.00008174802,0.000858669,0.01610286,0.004458584,0.0007071333,0.6922929,0.09629377,0.07935595],"study_design_scores_gemma":[0.00008953518,0.0001015983,0.1128034,0.000683647,0.000099603,0.0002150508,0.1067755,0.005164512,0.0008077162,0.4620693,0.3110582,0.0001320092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5692505,0.003050903,0.003396272,0.06995799,0.0003850516,0.00004156035,0.001060239,0.00008193625,0.3527757],"genre_scores_gemma":[0.9760621,0.000487682,0.0002833277,0.001420246,0.00005670658,0.00001538099,0.0001314244,0.00003651484,0.02150659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3251584,"threshold_uncertainty_score":0.6465316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02888041351738644,"score_gpt":0.220603428370878,"score_spread":0.1917230148534916,"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."}}