{"id":"W2087860434","doi":"10.1242/jeb.000810","title":"EVOLUTION OF ENDURANCE ATHLETES","year":2007,"lang":"en","type":"article","venue":"Journal of Experimental Biology","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Athletes; Endurance training; Natural selection; Selection (genetic algorithm); Physical medicine and rehabilitation; Biology; Medicine; Computer science; Physical therapy; Artificial intelligence","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":[0.001253066,0.0005470406,0.000554132,0.0009603076,0.002261039,0.002148817,0.0008666918,0.002122885,0.006274143],"category_scores_gemma":[0.002170232,0.000371025,0.0005547719,0.0008898031,0.002152013,0.00119469,0.002337165,0.001760953,0.001419148],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001848574,"about_ca_system_score_gemma":0.0008484691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003347899,"about_ca_topic_score_gemma":0.003052803,"domain_scores_codex":[0.9986674,0.0002854992,0.00006260105,0.0005386331,0.0001871158,0.0002587896],"domain_scores_gemma":[0.9994978,0.00009044739,0.00005754742,0.00004329709,0.0001711031,0.000139873],"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":[0.0007064128,0.0004291649,0.1598384,0.0008322165,0.0007585479,0.005768503,0.01939822,0.006237613,0.07243862,0.2235959,0.01908236,0.490914],"study_design_scores_gemma":[0.000106829,0.0008285903,0.2795791,0.0006904652,0.0002770496,0.01063785,0.007837376,0.005353675,0.007014171,0.06324296,0.6240908,0.0003410848],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7500265,0.01646613,0.018254,0.01646182,0.001254141,0.0001740535,0.0008069504,0.0002811506,0.1962752],"genre_scores_gemma":[0.9397123,0.006222256,0.009526971,0.004341062,0.0003480998,0.0001579474,0.0006251764,0.0001611237,0.03890501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006274143,"threshold_uncertainty_score":0.02098906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00846304859667297,"score_gpt":0.2791037606083821,"score_spread":0.2706407120117091,"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."}}