{"id":"W2278801969","doi":"10.1159/000406784","title":"8. Growth and Maturity Status of Montreal Olympic Athletes Less than 18 Years of Age","year":2015,"lang":"en","type":"book-chapter","venue":"Medicine and sport science/Medicine and sport","topic":"Genetics and Physical Performance","field":"Biochemistry, Genetics and Molecular Biology","cited_by":13,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Université Laval","funders":"","keywords":"Athletes; Maturity (psychological); Medicine; Demography; Physical therapy; Gerontology; Psychology; Developmental psychology; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004996543,0.000288435,0.0007847621,0.0001818466,0.00006399164,0.000005588863,0.0001853536,0.0001933521,0.00001927853],"category_scores_gemma":[0.00003400565,0.0002134713,0.0000441177,0.00009132607,0.003233929,0.000009147857,0.0001671865,0.0001724606,2.308168e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006998067,"about_ca_system_score_gemma":0.0001967679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001106216,"about_ca_topic_score_gemma":0.00008141833,"domain_scores_codex":[0.9980682,0.000002688395,0.000491013,0.0005399079,0.0005692817,0.0003289687],"domain_scores_gemma":[0.9987408,0.000009393212,0.0003108192,0.0003379922,0.000198173,0.000402804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00135201,0.0003736101,0.6274983,0.003084805,0.000566699,0.0006295145,0.0081777,0.000007378392,0.1576542,0.04103669,0.03187979,0.1277392],"study_design_scores_gemma":[0.005441267,0.008168686,0.7748508,0.001932322,0.0007471035,0.0001580942,0.00140457,0.00008334321,0.003701551,0.01145362,0.1907235,0.001335124],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.921658,0.01519666,0.000003432813,0.0001084601,0.000137103,0.0001866504,0.00002826105,0.000004451725,0.06267703],"genre_scores_gemma":[0.9700273,0.02149017,0.00004316954,0.000138814,0.000423445,0.000002209415,0.0001544194,0.00001942818,0.007701059],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1588437,"threshold_uncertainty_score":0.9994787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349014507726895,"score_gpt":0.2620798053255031,"score_spread":0.2385896602482342,"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."}}