{"id":"W2566071823","doi":"","title":"PREDICTION OF SCOLIOSIS PROGRESSION IN TIME SERIES USING ARTIFICIAL INTELLIGENCE TECHNIQUES","year":2008,"lang":"en","type":"article","venue":"","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scoliosis; Coronal plane; Cobb angle; CobB; Deformity; Medicine; Rachis; Orthodontics; Surgery; Anatomy","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006779491,0.000546893,0.0004201785,0.001292539,0.0001864518,0.0004237353,0.0003015829,0.0003189949,0.000508383],"category_scores_gemma":[0.002867849,0.0001552218,0.0004131932,0.0008728993,0.0001866843,0.0002979519,0.0002742397,0.0004098006,0.0001967452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002822961,"about_ca_system_score_gemma":0.0003384195,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006369788,"about_ca_topic_score_gemma":0.007065176,"domain_scores_codex":[0.9997154,0.00006413523,0.0000396741,0.00006720339,0.00008701046,0.00002660095],"domain_scores_gemma":[0.9988778,0.0006449476,0.0001455694,0.0001012887,0.0001878215,0.00004266754],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008571192,0.0008240595,0.39894,0.0002310236,0.0004420856,0.0006897743,0.0003557694,0.3088105,0.01827779,0.0004739806,0.001251317,0.2688465],"study_design_scores_gemma":[0.00001332069,0.0003475468,0.2208762,0.0000287308,0.00005977858,0.0002081548,0.0001646031,0.7735009,0.003608639,0.0004910222,0.0006728484,0.00002827615],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676807,0.0003038773,0.03029564,0.00008516319,0.00003120797,0.00006410883,0.000678762,0.0002394413,0.0006211091],"genre_scores_gemma":[0.985498,0.0001423669,0.01240646,0.00001007379,0.00001118153,0.00005320607,0.001591185,0.000007752005,0.0002797893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006369788,"threshold_uncertainty_score":0.01266545,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09948467237662309,"score_gpt":0.3451874716217042,"score_spread":0.2457027992450811,"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."}}