{"id":"W2104108898","doi":"10.1123/jsep.25.2.253","title":"The “Hot Hand” Myth in Professional Basketball","year":2003,"lang":"en","type":"article","venue":"Journal of Sport and Exercise Psychology","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"CONTEST; Basketball; Psychology; Dependency (UML); Mythology; Social psychology; History; Computer science; Political science; Artificial intelligence; Law","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":[0.006160928,0.0003609703,0.0003213253,0.0009548786,0.002596798,0.004251891,0.001011304,0.002176222,0.003886865],"category_scores_gemma":[0.03180147,0.0003210201,0.0002081675,0.001634941,0.01643397,0.004066108,0.003354258,0.004372148,0.000383169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001814579,"about_ca_system_score_gemma":0.001002752,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003281214,"about_ca_topic_score_gemma":0.00386672,"domain_scores_codex":[0.9953066,0.002325669,0.0003149592,0.0007561634,0.0009730279,0.0003235846],"domain_scores_gemma":[0.9733015,0.01774363,0.006051641,0.001494764,0.0006755573,0.0007330686],"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":[0.0009021448,0.00009802224,0.06466452,0.0006979174,0.00009619464,0.0008519191,0.07980862,0.0009543931,0.00281786,0.7147428,0.03348054,0.1008851],"study_design_scores_gemma":[0.00007504353,0.0008920262,0.2245952,0.002564174,0.0001275004,0.002967461,0.07724094,0.002504557,0.005213186,0.3527698,0.3307658,0.0002845121],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6155981,0.01394422,0.03921854,0.1144838,0.005580825,0.0001255968,0.0006221423,0.0001024255,0.2103244],"genre_scores_gemma":[0.9820941,0.001396035,0.001997711,0.007890865,0.002024018,0.00005793067,0.00005709386,0.0000324061,0.004449924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006160928,"threshold_uncertainty_score":0.03258252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02305548706996583,"score_gpt":0.2677062557531019,"score_spread":0.244650768683136,"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."}}