{"id":"W4407353241","doi":"10.1590/s1808-185120252401287491","title":"SCOLIOSIS ASSESSMENT VIA TELEHEALTH USING PHOTOGRAMMETRY: DEVELOPMENT AND ACCURACY","year":2025,"lang":"en","type":"article","venue":"Coluna/Columna","topic":"Scoliosis diagnosis and treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Telehealth; Photogrammetry; Scoliosis; Medicine; Medical physics; Computer science; Physical medicine and rehabilitation; Artificial intelligence; Telemedicine; Surgery; Health care; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003552045,0.0003071228,0.000610085,0.0003976414,0.0004218861,0.0001353087,0.0001159193,0.0001527034,0.00009918396],"category_scores_gemma":[0.0001149401,0.0002994256,0.0001095747,0.0009349206,0.00008614538,0.0001054378,0.0001683205,0.0002260001,0.00001680826],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001000589,"about_ca_system_score_gemma":0.001025065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135181,"about_ca_topic_score_gemma":0.0004982732,"domain_scores_codex":[0.9978436,0.00006930809,0.0005470082,0.0005934904,0.0003852035,0.0005613691],"domain_scores_gemma":[0.998733,0.0001656637,0.0001586066,0.0004396781,0.0001659275,0.0003371567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001180649,0.001930261,0.8263662,0.0006173049,0.0006817908,0.00009793082,0.0003219359,0.00000538788,0.001173223,0.0003598229,0.003811843,0.1645162],"study_design_scores_gemma":[0.004260945,0.0003781026,0.9315286,0.001441246,0.0005507939,0.0000531485,0.0003340656,0.002051457,0.008161337,0.0001297981,0.05073394,0.000376527],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9876584,0.002871641,0.001487679,0.0013297,0.0003686037,0.002175176,0.000005227587,0.000130279,0.003973247],"genre_scores_gemma":[0.9825116,0.00027951,0.01342691,0.002926983,0.00007100949,0.0004758263,0.00001807719,0.00003267757,0.0002574095],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1641397,"threshold_uncertainty_score":0.9999458,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423092199897161,"score_gpt":0.3728674705124582,"score_spread":0.3386365485134866,"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."}}