{"id":"W2035026463","doi":"10.1016/j.spinee.2013.07.449","title":"Artificial neural networks assessing adolescent idiopathic scoliosis: comparison with Lenke classification","year":2013,"lang":"en","type":"article","venue":"The Spine Journal","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":29,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôpital Notre-Dame; University of Ottawa; Centre Hospitalier Universitaire Sainte-Justine; Ottawa Hospital","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Artificial intelligence; Context (archaeology); Artificial neural network; Idiopathic scoliosis; Pattern recognition (psychology); Cohen's kappa; Scoliosis; Self-organizing map; Machine learning; Computer science; 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":[0.001328421,0.0005146156,0.0006361218,0.001964785,0.0003410594,0.000903975,0.0004678513,0.0008809185,0.002108792],"category_scores_gemma":[0.005088108,0.0001137391,0.0004375673,0.0005706574,0.000256855,0.0008560181,0.0004505988,0.000411551,0.000361476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005877026,"about_ca_system_score_gemma":0.0005494899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007124059,"about_ca_topic_score_gemma":0.007200551,"domain_scores_codex":[0.9994529,0.0001507338,0.00007655574,0.00009672017,0.0001736335,0.00004949287],"domain_scores_gemma":[0.9976293,0.001305711,0.0001824402,0.00007534408,0.000683361,0.0001238636],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005895386,0.0008208313,0.5331448,0.0003163686,0.0007608989,0.0003841296,0.0002634275,0.0732976,0.006388362,0.0008273279,0.001937857,0.375963],"study_design_scores_gemma":[0.0001961404,0.001696599,0.2621324,0.0001769034,0.0004764437,0.0006171975,0.000893389,0.7263504,0.004668952,0.001495402,0.001234612,0.00006153624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9802442,0.001865227,0.01332262,0.0003046565,0.0001565113,0.00009194464,0.000467816,0.0001525259,0.00339457],"genre_scores_gemma":[0.9952646,0.0003325233,0.003122976,0.00002923598,0.00002077004,0.00002192357,0.0002815711,0.000009862707,0.0009165069],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007124059,"threshold_uncertainty_score":0.01416522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.068462133290281,"score_gpt":0.3309931881151421,"score_spread":0.2625310548248611,"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."}}