{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000700595,0.0002504292,0.0003627208,0.00119142,0.000546466,0.0008030614,0.0002699659,0.0006018537,0.003048657],"category_scores_gemma":[0.004466622,0.0002601783,0.0003505682,0.0008560586,0.0003201258,0.000420268,0.0005648909,0.0005511073,0.0006316319],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003052825,"about_ca_system_score_gemma":0.0004653188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007370338,"about_ca_topic_score_gemma":0.0113362,"domain_scores_codex":[0.9991335,0.0002376657,0.00005833787,0.0001787897,0.000169303,0.0002223945],"domain_scores_gemma":[0.9982609,0.0004945665,0.0006691343,0.00009700475,0.0001482445,0.0003301477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002009549,0.0001490093,0.9909842,0.00002748946,0.00002294913,0.000158978,0.000581163,0.00002570774,0.0001693775,0.00006605117,0.0001096525,0.007504394],"study_design_scores_gemma":[0.000002649603,0.0002448432,0.9974266,0.00002016003,0.00002181917,0.0002309223,0.001280599,0.00008004173,0.00006666195,0.00006118714,0.0005594524,0.000005153263],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983202,0.0006124818,0.00006657796,0.00005732355,0.00002035673,0.000005376323,0.00009205238,0.000004022232,0.0008216801],"genre_scores_gemma":[0.9987993,0.0003758423,0.00006950009,0.00001328077,0.00002187539,0.000006999508,0.00010147,0.000002142614,0.0006094487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007370338,"threshold_uncertainty_score":0.01465493,"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."}}