{"id":"W1980721785","doi":"10.5007/1980-0037.2014v16n4p465","title":"Predição da performance de corredores de endurance por meio de testes de laboratório e pista","year":2014,"lang":"pt","type":"article","venue":"Brazilian Journal of Kinanthropometry and Human Performance","topic":"Sports Performance and Training","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Time trial; VO2 max; Mathematics; Statistics; Medicine; Engineering; Heart rate; Mechanical engineering","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":[0.001414439,0.0007412491,0.000537142,0.0008628072,0.0001787043,0.0007136406,0.0003059046,0.0004674091,0.0008259758],"category_scores_gemma":[0.006693196,0.0002191042,0.0003388877,0.000646219,0.0002312671,0.0003522221,0.0002600282,0.0003257742,0.0002434526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001567099,"about_ca_system_score_gemma":0.0002660471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004482157,"about_ca_topic_score_gemma":0.005820884,"domain_scores_codex":[0.9993585,0.0002094015,0.00004640477,0.0001551149,0.0001497437,0.00008080379],"domain_scores_gemma":[0.9966354,0.001967844,0.0007732125,0.0001398508,0.0002788216,0.0002048665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002858974,0.00005725746,0.9907962,0.00001903905,0.0001036254,0.00004442712,0.00006355636,0.0004867321,0.001483319,0.00001331302,0.00003305488,0.006613564],"study_design_scores_gemma":[0.000006692239,0.0005100798,0.9967592,0.00000489029,0.00005866465,0.00008601906,0.00005245888,0.001534473,0.0008653912,0.00002547736,0.0000898612,0.000006851438],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985211,0.0002636534,0.0008263529,0.00001190046,0.000006450468,0.000005694696,0.0001122951,0.00002786163,0.0002245914],"genre_scores_gemma":[0.999027,0.00009318092,0.0004957254,0.000006001574,0.00001769374,0.000007740386,0.0001855556,0.00000552553,0.000161431],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004482157,"threshold_uncertainty_score":0.008912146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01573036237698676,"score_gpt":0.2902566095001905,"score_spread":0.2745262471232037,"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."}}