{"id":"W1983908031","doi":"10.1007/bf02344210","title":"Using three-dimensional difference maps to assess changes in scoliotic deformities","year":2002,"lang":"en","type":"article","venue":"Medical & Biological Engineering & Computing","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; Glenrose Rehabilitation Hospital; Capital District Health Authority","funders":"","keywords":"Mean difference; Significant difference; Mathematics; Scoliosis; Trunk; Nuclear medicine; Surface (topology); Orthodontics; Laser scanning; Point (geometry); Statistics; Medicine; Artificial intelligence; Geometry; Surgery; Computer science; Laser; Physics; Confidence interval; Optics","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":[0.0007463827,0.0002449761,0.0002987079,0.002760275,0.000210243,0.0009412303,0.000270175,0.0005582952,0.001018852],"category_scores_gemma":[0.003347293,0.000219968,0.0002705852,0.0009123668,0.000273847,0.0009055946,0.0004637272,0.0003304141,0.0002129091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002392175,"about_ca_system_score_gemma":0.0003720609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003159902,"about_ca_topic_score_gemma":0.002520351,"domain_scores_codex":[0.9997572,0.00005200956,0.00001997699,0.00002636232,0.0001122919,0.00003213219],"domain_scores_gemma":[0.9987789,0.0006713491,0.00008624227,0.00007401709,0.000318758,0.00007078816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003335128,0.0003274826,0.0979896,0.0004732437,0.0002722398,0.0005680316,0.000887045,0.01732651,0.224973,0.001704696,0.001198593,0.6509445],"study_design_scores_gemma":[0.0002087013,0.0007697774,0.3688627,0.00008981484,0.0004041358,0.004864192,0.001192647,0.435439,0.1782592,0.006433381,0.003207651,0.0002687823],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8802708,0.0006067858,0.1155925,0.0001899502,0.00005444301,0.0000907655,0.0004239537,0.000777752,0.001992979],"genre_scores_gemma":[0.9541172,0.0002695424,0.04483286,0.00003676674,0.00001779654,0.00003052754,0.0002008885,0.00005854445,0.0004359111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003159902,"threshold_uncertainty_score":0.006283045,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435759830474505,"score_gpt":0.3128869739230924,"score_spread":0.1693109908756419,"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."}}