{"id":"W2624825268","doi":"10.1123/pes.2017-0009","title":"Improving the Prediction of Maturity From Anthropometric Variables Using a Maturity Ratio","year":2017,"lang":"en","type":"article","venue":"Pediatric Exercise Science","topic":"Sports Performance and Training","field":"Medicine","cited_by":75,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Maturity (psychological); Anthropometry; Statistics; Mathematics; Medicine; Demography; Psychology; Internal medicine; Developmental psychology","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":[0.002724961,0.0008128161,0.0004519693,0.001003591,0.0001714204,0.0008850385,0.000683137,0.0004624893,0.00122063],"category_scores_gemma":[0.009760634,0.0002173288,0.0006427492,0.0004816896,0.0001692207,0.0009758655,0.0008544555,0.0008987734,0.0007037374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003586742,"about_ca_system_score_gemma":0.000768044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006156268,"about_ca_topic_score_gemma":0.006028472,"domain_scores_codex":[0.9991484,0.000330977,0.00006448661,0.0002377007,0.0001680964,0.00005042253],"domain_scores_gemma":[0.9972184,0.001402591,0.0005113173,0.0001980266,0.0005633603,0.0001063801],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002117924,0.0001829948,0.891169,0.0001090079,0.0001739656,0.0000852589,0.0001397624,0.01761506,0.002652848,0.0004478649,0.0007114893,0.08650093],"study_design_scores_gemma":[0.00003863286,0.0007456305,0.5510457,0.0001522309,0.0001935039,0.0004010114,0.0002753825,0.439684,0.004147615,0.001095088,0.002173876,0.00004736215],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8553931,0.000867104,0.139106,0.0004189953,0.00008328808,0.0001193662,0.0009974178,0.0005055019,0.002509343],"genre_scores_gemma":[0.9700916,0.0002583158,0.02797964,0.00004325586,0.00002334055,0.00004777806,0.0007822808,0.00003213656,0.0007416434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006156268,"threshold_uncertainty_score":0.01441115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090366985778513,"score_gpt":0.2921654735627693,"score_spread":0.2612618037049841,"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."}}