{"id":"W4213038629","doi":"10.1016/j.dib.2022.107952","title":"Dataset on PGA Tour tournament entry","year":2022,"lang":"en","type":"article","venue":"Data in Brief","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Tournament; Streak; Momentum (technical analysis); Selection (genetic algorithm); Athletes; Term (time); Operations research; Computer science; Mathematics; Artificial intelligence; Economics; Combinatorics; Physics; Financial economics; Physical therapy; Medicine","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":[0.0006342765,0.0008167739,0.0007837203,0.002555193,0.0005708623,0.001435255,0.001360325,0.001218304,0.01967902],"category_scores_gemma":[0.00389945,0.0002361088,0.0005773423,0.005137836,0.0002166122,0.0005888593,0.001123641,0.00128594,0.02222266],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000862134,"about_ca_system_score_gemma":0.001126113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02782557,"about_ca_topic_score_gemma":0.044631,"domain_scores_codex":[0.9992794,0.000105647,0.00009097673,0.0001809708,0.000221434,0.0001215484],"domain_scores_gemma":[0.9976977,0.000446594,0.000482851,0.0003496032,0.0006396999,0.0003835022],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003385412,0.0002404419,0.02957189,0.0003193066,0.00007353947,0.0001176845,0.00009884405,0.001186381,0.000308221,0.001261687,0.9537632,0.01272032],"study_design_scores_gemma":[0.0004306679,0.0001379347,0.1963774,0.0002687828,0.00004337076,0.000187273,0.0005820005,0.003148413,0.0006415137,0.001680865,0.7964334,0.00006828686],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.006408819,0.00009570938,0.0001253946,0.0001457993,0.00002793661,0.00003804774,0.9908857,0.0001957834,0.002076736],"genre_scores_gemma":[0.00517385,0.00004629365,0.0003084747,0.00004101238,0.00001290096,0.00008747746,0.993021,0.00001669842,0.00129233],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02782557,"threshold_uncertainty_score":0.06583297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07233831023816832,"score_gpt":0.2595918375129926,"score_spread":0.1872535272748243,"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."}}