{"id":"W2945525702","doi":"","title":"EFEITO DA IDADE RELATIVA NOS CAMPEONATOS ESTADUAIS DE FUTEBOL PROFISSIONAL","year":2019,"lang":"pt","type":"article","venue":"Fiep Bulletin - online","topic":"Sports Analytics and Performance","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Demography; Football; Population; Quartile; Test (biology); Geography; Medicine; Sociology; Confidence interval","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0008020833,0.000555679,0.000986284,0.0003782085,0.000237189,0.0001982027,0.0006486611,0.0005682707,0.03660343],"category_scores_gemma":[0.0001853277,0.0006114981,0.000392364,0.0004078687,0.0000980413,0.0001416969,0.0002747513,0.001023013,0.01071001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002468229,"about_ca_system_score_gemma":0.0002308054,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005060056,"about_ca_topic_score_gemma":0.00004498132,"domain_scores_codex":[0.9962305,0.00003345963,0.001503903,0.001055095,0.000200816,0.0009762642],"domain_scores_gemma":[0.9974412,0.0001689811,0.0009123732,0.0009688954,0.0001196505,0.0003889525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003226357,0.001648138,0.7698476,0.0007188186,0.00054431,0.0001321559,0.001779133,0.004042195,0.00004588088,0.0404147,0.1756717,0.00483267],"study_design_scores_gemma":[0.001319584,0.0002417315,0.09585755,0.0002329231,0.00004114931,0.00001857509,0.0001806753,0.04796641,0.00003285695,0.0005182036,0.8528138,0.0007765882],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9371402,0.007765867,0.0008308003,0.02573283,0.003305017,0.001189259,0.003567606,0.0001042835,0.02036417],"genre_scores_gemma":[0.8633432,0.001736874,0.001797071,0.002244843,0.001259742,0.00002971418,0.0007647891,0.0001324183,0.1286914],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.677142,"threshold_uncertainty_score":0.9996336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02203002128065087,"score_gpt":0.2366546047624221,"score_spread":0.2146245834817712,"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."}}