{"id":"W4398535221","doi":"10.7910/dvn/ii5jzg/gz8w5x","title":"MSP_F_70_NFL_4_8.xlsx","year":2020,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Psychology","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001166305,0.002458545,0.00150295,0.004650985,0.0008522901,0.003883331,0.003101019,0.002579588,0.386348],"category_scores_gemma":[0.009737263,0.0009631939,0.001271423,0.008228102,0.0005946707,0.002501364,0.003081204,0.001765688,0.3679186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001788541,"about_ca_system_score_gemma":0.00229601,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02770099,"about_ca_topic_score_gemma":0.03907871,"domain_scores_codex":[0.9986683,0.0001926531,0.0001608657,0.0003069403,0.0003106337,0.0003606488],"domain_scores_gemma":[0.9964444,0.0009109076,0.0003700275,0.0007394194,0.001082842,0.0004523728],"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":[0.00002596492,0.00001013607,0.0003433669,0.0002764849,0.000009505241,0.000005842242,0.00001097411,0.00007224399,0.00002930346,0.0002700608,0.9981033,0.0008428473],"study_design_scores_gemma":[0.0003021839,0.00001873412,0.003423116,0.0003329527,0.00001550638,0.00002925847,0.00009446345,0.0002274285,0.0002250852,0.00117761,0.994122,0.00003174181],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003766694,0.00001896921,0.00001895251,0.0000510599,0.00001680975,0.000004600257,0.9990392,0.0002109329,0.0006018498],"genre_scores_gemma":[0.0003015442,0.0000391454,0.0001432644,0.00007062439,0.00001538661,0.00005941921,0.9978824,0.0001542243,0.001333917],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.613652,"threshold_uncertainty_score":0.8753001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03265792087202939,"score_gpt":0.2127148499344653,"score_spread":0.1800569290624359,"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."}}