{"id":"W4298299776","doi":"10.37549/ar2491","title":"A problem-solving approach to common challenges interpreting postoperative spinal imaging","year":2018,"lang":"en","type":"article","venue":"Applied Radiology","topic":"Infectious Diseases and Tuberculosis","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Vancouver General Hospital; Vancouver Spine Surgery Institute; University of British Columbia","funders":"","keywords":"Spinal surgery; Computer science; Medicine; Artificial intelligence; Surgery","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":[],"consensus_categories":[],"category_scores_codex":[0.0002124739,0.0001845373,0.0003649115,0.0001290941,0.0001775304,0.00001581146,0.00009762113,0.00007779156,0.0000483468],"category_scores_gemma":[0.00003215445,0.0001535667,0.00007047968,0.0001220705,0.0001725923,0.00003121035,0.00009859425,0.00020524,0.0001108048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009465465,"about_ca_system_score_gemma":0.00004013666,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005052643,"about_ca_topic_score_gemma":0.00001034098,"domain_scores_codex":[0.9988179,0.00005319193,0.0002189802,0.0004279132,0.00008742281,0.0003945773],"domain_scores_gemma":[0.9994109,0.000041212,0.00005373923,0.0002536932,0.00008288327,0.0001575197],"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":[0.005218053,0.002066218,0.06096253,0.0008162902,0.001233679,0.000156887,0.04560209,0.00008971456,0.1347851,0.2667288,0.01274792,0.4695927],"study_design_scores_gemma":[0.02801813,0.03161824,0.624495,0.003070264,0.003351424,0.02832664,0.05856812,0.02787747,0.03507615,0.02410256,0.1271753,0.008320722],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5881192,0.0007977643,0.002323191,0.003132511,0.0001511294,0.0008535307,0.000002686075,0.0001698546,0.4044501],"genre_scores_gemma":[0.9906665,0.00003655241,0.004239186,0.004408342,0.0004486699,0.0001298545,0.00001266109,0.00003083261,0.00002740645],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5635325,"threshold_uncertainty_score":0.6262267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01383259992340197,"score_gpt":0.2774303585227209,"score_spread":0.2635977585993189,"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."}}