{"id":"W4213325320","doi":"10.1139/apnm-2019-0569","title":"Proceedings of the Canadian Society for Exercise Physiology 52nd Annual General Meeting / Actes du 52e congrès annuel de la Société canadienne de physiologie de l’exercice","year":2019,"lang":"fr","type":"article","venue":"Applied Physiology Nutrition and Metabolism","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Physiology; Library science; Medicine; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002829197,0.001194347,0.001095402,0.001745351,0.002139178,0.002815202,0.001249424,0.002485964,0.09451982],"category_scores_gemma":[0.002626798,0.0004647085,0.000895625,0.001369849,0.001031525,0.0006110869,0.001866209,0.002644211,0.02441281],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00647471,"about_ca_system_score_gemma":0.02661444,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4010662,"about_ca_topic_score_gemma":0.6438748,"domain_scores_codex":[0.9985901,0.0001060341,0.00005742179,0.0001035672,0.0008285828,0.0003143853],"domain_scores_gemma":[0.9954066,0.0001344548,0.0001109757,0.000101921,0.002912817,0.001333273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001273807,0.00005926589,0.001024261,0.0001599189,0.0000236221,0.00004596068,0.00004935571,0.00008458512,0.0004129637,0.0003724515,0.9560049,0.04163526],"study_design_scores_gemma":[0.0000306177,0.00002848917,0.01075282,0.0002465934,0.00001420334,0.00004240638,0.0001663424,0.00007985187,0.0001350052,0.0002012442,0.9882874,0.00001509867],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01235837,0.09394482,0.003673152,0.1817659,0.2754866,0.001810219,0.0137075,0.0006605695,0.4165928],"genre_scores_gemma":[0.01812811,0.04571249,0.001936636,0.006069856,0.01673608,0.0005441897,0.006314442,0.0002487442,0.9043095],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9935253,"threshold_uncertainty_score":0.7974634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007803266407597504,"score_gpt":0.240878165758726,"score_spread":0.2330748993511285,"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."}}