{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001710653,0.00006691705,0.0001241163,0.00003489484,0.00001916222,0.000001681491,0.0001233021,0.0000746521,0.00001216449],"category_scores_gemma":[0.00001699643,0.00005408156,0.000091114,0.00004352031,0.00009369557,0.000002503854,0.00003673341,0.0000558151,0.000001821162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000152772,"about_ca_system_score_gemma":0.00002553997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000325609,"about_ca_topic_score_gemma":0.000001091599,"domain_scores_codex":[0.9994483,0.00001772633,0.0002759491,0.00007762689,0.0000562043,0.0001241667],"domain_scores_gemma":[0.9995573,0.000009147667,0.0002152134,0.00009072719,0.00008121975,0.00004638983],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001528925,0.00008997926,0.005525295,0.000002510943,0.00001988746,7.465688e-7,0.00003234194,0.00001174419,0.9929359,0.0003866185,0.0001744305,0.0006676567],"study_design_scores_gemma":[0.0003468978,0.001145611,0.006715012,0.000007804573,0.000003701092,0.00002341128,0.0001046018,0.00000717493,0.9859602,0.000125851,0.005502006,0.00005772949],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990904,0.006856927,0.001186832,0.00001589403,0.0002618619,0.0000310336,0.000003314811,7.861077e-7,0.0007393241],"genre_scores_gemma":[0.9985309,0.00008823939,0.0009699914,0.00005014059,0.0003291402,4.60407e-7,0.000003890151,0.000004871136,0.00002234968],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00762689,"threshold_uncertainty_score":0.2205382,"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."}}