{"id":"W4362489447","doi":"10.1117/12.2653393","title":"Automatic assessment of skeletal maturity in adolescent idiopathic scoliosis patients using support vector regression on deep features","year":2023,"lang":"en","type":"article","venue":"","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Bone age; Scoliosis; Medicine; Hyperparameter; Idiopathic scoliosis; Support vector machine; Artificial intelligence; Machine learning; Computer science; Physical therapy; Surgery; Internal medicine","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":[0.0006360254,0.00076322,0.0006850835,0.0008334502,0.0001503337,0.000536308,0.000736584,0.0007244187,0.00115763],"category_scores_gemma":[0.001473607,0.0002472769,0.0006861868,0.0004384903,0.0001419018,0.0004306129,0.0005119394,0.0009046923,0.0006804817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003467322,"about_ca_system_score_gemma":0.0004142221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005067289,"about_ca_topic_score_gemma":0.00672584,"domain_scores_codex":[0.9996566,0.00006853974,0.00002531925,0.0001130819,0.00006878122,0.00006784157],"domain_scores_gemma":[0.9996253,0.0001433579,0.0000482465,0.00002609452,0.0001167809,0.00004014458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008257229,0.0004952681,0.0435767,0.0002091433,0.0001877174,0.0003930018,0.0001565378,0.1660388,0.0202881,0.0005154624,0.009813331,0.7575002],"study_design_scores_gemma":[0.00002202689,0.000141087,0.007902456,0.00003307135,0.00002606091,0.0001238242,0.0000440685,0.9864427,0.004053425,0.0005407791,0.0006573389,0.00001315496],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6211432,0.002240839,0.3641582,0.000932396,0.0002270493,0.0002455558,0.002601907,0.006117208,0.002333667],"genre_scores_gemma":[0.9387038,0.0002946297,0.05634557,0.0001522588,0.00005301324,0.00009926683,0.002488241,0.0001150457,0.001748149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005067289,"threshold_uncertainty_score":0.01007557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03772030673239817,"score_gpt":0.3604336424579399,"score_spread":0.3227133357255417,"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."}}