{"id":"W2807226806","doi":"10.1249/01.mss.0000535659.41902.79","title":"Changes In Elite Canadian Collegiate Hockey Player’S Body Compositions And Physiologic Tests Across Playing Careers","year":2018,"lang":"en","type":"article","venue":"Medicine & Science in Sports & Exercise","topic":"Sports Performance and Training","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Body fat percentage; Lean body mass; Vertical jump; Physical therapy; Athletes; Medicine; Fat mass; Elite athletes; Demography; Body weight; Jump; Animal science; Psychology; Body mass index; Internal medicine; Biology; Physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0004711355,0.0004631582,0.0003263175,0.001123395,0.001547302,0.0007183522,0.000726903,0.0004480208,0.002257638],"category_scores_gemma":[0.0008934065,0.0001772024,0.000225246,0.0008989837,0.0004454975,0.0002178851,0.0004942865,0.0003610596,0.000363624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003753741,"about_ca_system_score_gemma":0.003661988,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7815959,"about_ca_topic_score_gemma":0.8966665,"domain_scores_codex":[0.9995022,0.00001678316,0.00001225122,0.00007226686,0.0002617538,0.0001346767],"domain_scores_gemma":[0.9992012,0.0000270635,0.0001059081,0.00001453454,0.0004524017,0.0001989414],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004682452,0.0004703736,0.9630762,0.00008409669,0.0001043363,0.000207244,0.00123921,0.0002025027,0.007698373,0.00005619416,0.001314156,0.02507891],"study_design_scores_gemma":[0.000001474406,0.00004711005,0.9993937,0.000003503639,0.000004470338,0.00001952202,0.0002011715,0.00003231478,0.0001181402,0.000002093086,0.0001737468,0.000002643319],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975191,0.0001658108,0.00005795726,0.0000363195,0.000005927469,0.00002315211,0.0003506699,0.000007134193,0.001833826],"genre_scores_gemma":[0.9959038,0.0002186055,0.0001946566,0.00004241289,0.000005745745,0.00002462734,0.0006880306,0.000002833985,0.002919339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2184041,"threshold_uncertainty_score":0.4393805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504436127395957,"score_gpt":0.3140829457250524,"score_spread":0.2890385844510928,"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."}}