{"id":"W2789143544","doi":"","title":"COMPARAÇÃO DOS TESTES DE COOPER E DA UNIVERSIDADE DE MONTREAL COM O TESTE DE MEDIDA DIRETA DE CONSUMO MÁXIMO DE OXIGÊNIO","year":2017,"lang":"pt","type":"article","venue":"Americanae (AECID Library)","topic":"Healthcare Regulation","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Art","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001401003,0.0009402228,0.001539038,0.000448568,0.003340215,0.0002728897,0.002255753,0.00102408,0.001574674],"category_scores_gemma":[0.0015503,0.001030812,0.000313307,0.0007335403,0.001649413,0.001894067,0.0008686891,0.002267182,0.0004070306],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002486701,"about_ca_system_score_gemma":0.01384767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3317782,"about_ca_topic_score_gemma":0.005565618,"domain_scores_codex":[0.9891038,0.003987008,0.001348874,0.001127108,0.0006801767,0.003753034],"domain_scores_gemma":[0.9886367,0.003874069,0.001793861,0.002451223,0.0002007126,0.003043375],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002594661,0.0002604541,0.8909956,0.0004233931,0.0002421404,0.0004569046,0.006927147,0.0002326094,0.0003597461,0.00182525,0.08396802,0.01404929],"study_design_scores_gemma":[0.002432584,0.0003559078,0.9428646,0.001142159,0.0002619595,0.00008067297,0.004115222,0.02493063,0.0003597881,0.0007930338,0.02170073,0.000962688],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.907931,0.001940443,0.003081989,0.07481824,0.0006690187,0.001903246,0.0006425082,0.000672356,0.008341192],"genre_scores_gemma":[0.9694713,0.001637236,0.006278477,0.009807227,0.0007899512,0.0001202585,0.0002341316,0.0003222253,0.01133924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3262126,"threshold_uncertainty_score":0.999338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05977924186712432,"score_gpt":0.376842606148126,"score_spread":0.3170633642810017,"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."}}