{"id":"W4393274730","doi":"10.1177/08465371241231577","title":"Correlative Assessment of Machine Learning-Based Cobb Angle Measurements and Human-Based Measurements in Adolescent Idiopathic and Congenital Scoliosis","year":2024,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Garron Family Cancer Centre; Terry Fox Foundation; Novo Nordisk; Physicians' Services Incorporated Foundation","keywords":"Medicine; Scoliosis; Cobb angle; Congenital scoliosis; Idiopathic scoliosis; Deformity; Radiography; Orthodontics; Physical therapy; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002251829,0.0004206979,0.0003742165,0.001793149,0.000217499,0.0006939357,0.0004177936,0.0005217402,0.0008623978],"category_scores_gemma":[0.008579115,0.0001755125,0.0002638733,0.0007194377,0.0003670185,0.0004199769,0.0004792856,0.0003421696,0.000316436],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004314044,"about_ca_system_score_gemma":0.0004242281,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002333088,"about_ca_topic_score_gemma":0.004313261,"domain_scores_codex":[0.9984847,0.0005097779,0.0001313644,0.0003202694,0.0004856584,0.00006830392],"domain_scores_gemma":[0.9957914,0.00165813,0.001074433,0.0003545844,0.0009617314,0.0001596433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003639764,0.0001036424,0.9314954,0.00006466706,0.00009801736,0.0001427697,0.000114003,0.02279251,0.005312717,0.00009629135,0.0001796953,0.03923633],"study_design_scores_gemma":[0.00001418652,0.0005006283,0.6522252,0.00004525144,0.00005565099,0.001322763,0.0001683265,0.3369694,0.007786417,0.0003619765,0.0005220899,0.00002811178],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97185,0.000369461,0.02666713,0.00004253442,0.00001225732,0.00003900376,0.0002473294,0.0001789209,0.0005933922],"genre_scores_gemma":[0.9955242,0.00003973926,0.004130472,0.000007294277,0.000005718691,0.000009297041,0.0001944197,0.000008686059,0.00008023296],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002333088,"threshold_uncertainty_score":0.01190895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06215166637303456,"score_gpt":0.3254742945394022,"score_spread":0.2633226281663677,"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."}}