{"id":"W1990884109","doi":"10.1002/jor.21245","title":"Age, sex, body anthropometry, and ACL size predict the structural properties of the human anterior cruciate ligament","year":2011,"lang":"en","type":"article","venue":"Journal of Orthopaedic Research®","topic":"Knee injuries and reconstruction techniques","field":"Medicine","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Institutes of Health; Texas Tech University","keywords":"Anterior cruciate ligament; ACL injury; Medicine; Anthropometry; Linear model; Linear regression; Orthodontics; Internal medicine; Surgery; Mathematics; Statistics","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":[0.002412377,0.0001318728,0.000502929,0.0002773312,0.0003652161,0.00004398413,0.000321309,0.00008839623,0.0001678529],"category_scores_gemma":[0.000612008,0.00005459107,0.0002974535,0.0003041459,0.00211901,0.0001373993,0.000228469,0.0008660973,5.003713e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000536521,"about_ca_system_score_gemma":0.0002038414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001304609,"about_ca_topic_score_gemma":0.000008552334,"domain_scores_codex":[0.9974,0.0002756774,0.0009288601,0.0001351499,0.0009781679,0.0002821508],"domain_scores_gemma":[0.9983882,0.00007619887,0.0005577728,0.0003296502,0.0004963242,0.0001518959],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001687863,0.0003759515,0.5434455,0.001130486,0.001001234,0.0003602442,0.00912114,2.668073e-7,0.3135014,0.0002144093,0.002735167,0.1264264],"study_design_scores_gemma":[0.002108048,0.004245405,0.6984214,0.00567772,0.0001771439,0.002770529,0.006189166,0.00002117239,0.2769418,0.001544193,0.001735524,0.0001679282],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924334,0.004712497,0.000006618868,0.001120706,0.0002955183,0.0004475494,0.000003412598,0.00001318202,0.0009670992],"genre_scores_gemma":[0.9946189,0.003853865,0.0002782775,0.00005885717,0.00031699,0.000005780467,5.708978e-8,0.00001731911,0.0008499399],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1549758,"threshold_uncertainty_score":0.7807581,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06924006439249249,"score_gpt":0.3560487260100302,"score_spread":0.2868086616175377,"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."}}