{"id":"W2143060519","doi":"10.1152/japplphysiol.01295.2009","title":"Using molecular classification to predict gains in maximal aerobic capacity following endurance exercise training in humans","year":2010,"lang":"en","type":"article","venue":"Journal of Applied Physiology","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":359,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre","funders":"National Center for Research Resources; National Heart, Lung, and Blood Institute","keywords":"Endurance training; Single-nucleotide polymorphism; VO2 max; RNA; Gene; Genetics; Biology; Gene expression; Computational biology; Bioinformatics; Genotype; Endocrinology","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":[0.001020017,0.0004483985,0.0003887343,0.0007101027,0.0001866275,0.0005162531,0.0002079287,0.0004305106,0.0007154894],"category_scores_gemma":[0.002235726,0.0001478459,0.0003503906,0.0003393825,0.0002417513,0.000183569,0.0001819173,0.0003530865,0.000338422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002080457,"about_ca_system_score_gemma":0.0001985339,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465142,"about_ca_topic_score_gemma":0.001499141,"domain_scores_codex":[0.9996552,0.0001162405,0.0000192009,0.0001190292,0.00005105899,0.00003931977],"domain_scores_gemma":[0.9990255,0.0005958209,0.000179945,0.00007258415,0.00007520484,0.00005098484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001219813,0.0002542382,0.9061409,0.00004319994,0.0003138264,0.00009048661,0.00007285059,0.01173502,0.02911617,0.0001295837,0.0005065152,0.05037743],"study_design_scores_gemma":[0.00005907982,0.0005984598,0.8321096,0.00001610093,0.0001415275,0.0002077134,0.00008381512,0.1583531,0.007255632,0.0007335196,0.0004069833,0.0000344872],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907844,0.0001290726,0.008159138,0.00006954768,0.00001005649,0.00002876365,0.0003827679,0.00006288517,0.0003734065],"genre_scores_gemma":[0.9943627,0.00004991422,0.00470753,0.00003726279,0.00001200823,0.00002863201,0.000575264,0.000007517673,0.00021919],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001465142,"threshold_uncertainty_score":0.005394399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0345144014567232,"score_gpt":0.2815982850115284,"score_spread":0.2470838835548052,"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."}}