{"id":"W4398610926","doi":"10.7910/dvn/ii5jzg/uzzcpc","title":"MSP_F_20_NFL_4_6.xlsx","year":2020,"lang":"pt","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":"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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001231414,0.002570709,0.001555489,0.004963738,0.0009272118,0.004369848,0.003322242,0.002751992,0.4449479],"category_scores_gemma":[0.01167804,0.001082212,0.001286162,0.00907207,0.0006502114,0.002891054,0.003560343,0.001955595,0.4323474],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001845075,"about_ca_system_score_gemma":0.002415994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02353696,"about_ca_topic_score_gemma":0.02981097,"domain_scores_codex":[0.9984875,0.0002047278,0.0001844054,0.0003435026,0.0003573305,0.0004225433],"domain_scores_gemma":[0.9957041,0.001055436,0.0004424682,0.0009493705,0.001263385,0.0005851644],"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":[0.00002527132,0.00000947944,0.0002925036,0.0002432869,0.000008120963,0.00000533967,0.00001008196,0.00005726584,0.00002749582,0.0002433087,0.9982848,0.0007929611],"study_design_scores_gemma":[0.0003643329,0.00002266255,0.003593872,0.0003224697,0.000015022,0.00003076823,0.00009623379,0.0002442714,0.0002561486,0.001215127,0.9938059,0.00003340146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003420261,0.0000144535,0.00001761186,0.00005486315,0.00001745603,0.000004891919,0.9989929,0.0002452987,0.0006183457],"genre_scores_gemma":[0.0003055545,0.00003325018,0.0001364311,0.00007098663,0.00001756149,0.00006387271,0.9978533,0.0001839052,0.001335041],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5550521,"threshold_uncertainty_score":0.7917144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03363414345893737,"score_gpt":0.2182604109933083,"score_spread":0.1846262675343709,"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."}}