{"id":"W4410391451","doi":"10.2139/ssrn.5245387","title":"Ai-Driven Predictive Medicine: Geometric Morphometrics for Assisted Scoliosis Diagnosis","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Medical Imaging and Analysis","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Morphometrics; Scoliosis; Artificial intelligence; Medicine; Medical physics; Computer science; Biology; Surgery; Zoology","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":[0.0006214657,0.0007699127,0.0007092184,0.001574104,0.0003764568,0.001515161,0.001360892,0.001095954,0.004004431],"category_scores_gemma":[0.003073502,0.0005255535,0.0007255911,0.001373747,0.0006942396,0.0008973553,0.001321664,0.001115156,0.001783149],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005626973,"about_ca_system_score_gemma":0.00102787,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003188805,"about_ca_topic_score_gemma":0.003320046,"domain_scores_codex":[0.9995578,0.00006441865,0.00001743307,0.0001010981,0.0002304676,0.00002884524],"domain_scores_gemma":[0.9992037,0.0003060048,0.00008965271,0.0001148789,0.0002443912,0.00004129465],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002056899,0.0001066877,0.002330013,0.0003429278,0.0001034427,0.0001829114,0.000168283,0.2796843,0.02455489,0.02282799,0.011335,0.6581578],"study_design_scores_gemma":[0.00000666296,0.0000267966,0.0005795356,0.00001971065,0.00001176061,0.0001510138,0.00001732681,0.9807737,0.00469135,0.01048534,0.003222773,0.00001402028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006704412,0.000364101,0.9874963,0.0004110104,0.0001032574,0.00004823341,0.0002446506,0.002449137,0.002178958],"genre_scores_gemma":[0.4332846,0.001178498,0.5553328,0.0005031932,0.0003428722,0.0001841388,0.001118827,0.0007710755,0.007284053],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004004431,"threshold_uncertainty_score":0.01339614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01357990185285578,"score_gpt":0.2736239301093955,"score_spread":0.2600440282565397,"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."}}