{"id":"W3001994166","doi":"","title":"Análise quantitativa de finalizações das quatro melhores equipes da Copa Libertadores da América de 2016","year":2019,"lang":"pt","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Physical Education and Sports Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Champion; Football; Offensive; Quarter (Canadian coin); Competition (biology); Work (physics); Geography; Political science; Humanities; Management; Engineering; Economics; Art; Archaeology","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","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002713411,0.0006749638,0.001645662,0.0006866069,0.001182866,0.003230443,0.004454461,0.0002569702,0.02303755],"category_scores_gemma":[0.001633834,0.0005902493,0.0005571362,0.001850665,0.0009178197,0.003507342,0.001216079,0.0007180233,0.0002716332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004089719,"about_ca_system_score_gemma":0.00197298,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0255428,"about_ca_topic_score_gemma":0.001911419,"domain_scores_codex":[0.9936759,0.001222033,0.001381987,0.0008782992,0.001509037,0.001332774],"domain_scores_gemma":[0.9942335,0.00180433,0.001708995,0.0007306194,0.0006792404,0.0008432756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003432194,0.001202157,0.4826889,0.0002512985,0.0005554738,0.00003608617,0.03033398,0.0001897621,0.008150259,0.003971142,0.4648125,0.007465167],"study_design_scores_gemma":[0.0009455375,0.00008603698,0.7682448,0.001821557,0.0003966238,0.000006820861,0.02361067,0.0002823338,0.002794537,0.02595695,0.1743627,0.001491426],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9050984,0.0482369,0.0001560332,0.003836509,0.002192443,0.001055736,0.0001196658,0.00008339812,0.0392209],"genre_scores_gemma":[0.9316401,0.05156717,0.0001455747,0.0009853897,0.0006125012,0.00006314625,0.00001730295,0.00007747403,0.01489135],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2904498,"threshold_uncertainty_score":0.9996549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3208798544029811,"score_gpt":0.610848134615613,"score_spread":0.289968280212632,"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."}}