{"id":"W2920874415","doi":"10.1136/bjsports-2018-100328","title":"Precision exercise medicine: understanding exercise response variability","year":2019,"lang":"en","type":"article","venue":"British Journal of Sports Medicine","topic":"Cardiovascular and exercise physiology","field":"Medicine","cited_by":265,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kingston Health Sciences Centre; Queen's University","funders":"National Institutes of Health; Pennington Biomedical Research Foundation","keywords":"Cardiorespiratory fitness; Adaptive response; Sports medicine; Medicine; Exercise physiology; Statement (logic); Physical therapy; Physical medicine and rehabilitation; Psychology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.09432359,0.001108798,0.003532992,0.003627849,0.0007442098,0.004741227,0.003284809,0.003917363,0.002363017],"category_scores_gemma":[0.1874927,0.0008287568,0.002029574,0.002512009,0.005675772,0.004803261,0.003734707,0.004480695,0.0005822709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002044708,"about_ca_system_score_gemma":0.003457438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003099062,"about_ca_topic_score_gemma":0.002777762,"domain_scores_codex":[0.937661,0.04076282,0.005009445,0.007993805,0.00785032,0.0007226535],"domain_scores_gemma":[0.7809763,0.1837991,0.01263352,0.01271832,0.009113877,0.0007588689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008149082,0.0001906964,0.04859811,0.01608292,0.004197559,0.0002879754,0.004113742,0.01256814,0.003455892,0.07755358,0.01629613,0.8158403],"study_design_scores_gemma":[0.0003456297,0.001936585,0.1295549,0.01661733,0.002746668,0.001555518,0.00203634,0.02438449,0.003927061,0.6689108,0.1474131,0.000571611],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02064844,0.1684237,0.7405609,0.05546408,0.004320192,0.0005731116,0.001640126,0.0005526714,0.00781681],"genre_scores_gemma":[0.4838923,0.1108184,0.345223,0.03981915,0.01270447,0.003292523,0.001504622,0.0003629154,0.002382652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.09432359,"threshold_uncertainty_score":0.4988368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01688818587759511,"score_gpt":0.2653627761702256,"score_spread":0.2484745902926305,"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."}}