{"id":"W4255465900","doi":"10.1503/cmaj.1070072","title":"Imaging error","year":2007,"lang":"en","type":"article","venue":"Canadian Medical Association Journal","topic":"Medical Imaging and Pathology Studies","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Women's College Hospital","funders":"","keywords":"Computer science; Weir; Computer graphics (images); Abdomen; Angiolipoma; Artificial intelligence; Nuclear medicine; Medicine; Anatomy; Radiology; Cartography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004069753,0.00009086996,0.0002123404,0.0002099583,0.0002713149,0.000023546,0.000089889,0.000194475,0.002752617],"category_scores_gemma":[0.005109919,0.00007498771,0.00009071834,0.0001792202,0.00008602091,0.00004949185,0.00001046029,0.001175402,0.0002945878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005886705,"about_ca_system_score_gemma":0.001527636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006172694,"about_ca_topic_score_gemma":0.004989008,"domain_scores_codex":[0.9977674,0.00005958581,0.0003587503,0.0001194047,0.001092847,0.0006020127],"domain_scores_gemma":[0.9967753,0.0001972408,0.0001063942,0.0000760216,0.0003379904,0.002507094],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008485987,0.00001955021,0.6033267,0.000005586085,0.0000683446,0.005507296,0.0002455993,5.94868e-8,0.00001915327,0.00007961722,0.2923358,0.09838377],"study_design_scores_gemma":[0.001043412,0.00002918425,0.2818487,0.00008736632,0.00004812975,0.005154252,0.0007012751,0.00008584251,0.00001926404,0.0001109787,0.7107736,0.00009792604],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.3515326,0.002330403,0.003474948,0.4785312,0.004847052,0.0002010186,0.000009673907,0.0001172666,0.1589558],"genre_scores_gemma":[0.8940945,0.00009408513,0.0008028442,0.09777528,0.003862643,0.00000154884,0.000006491573,0.00001822604,0.003344397],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5425619,"threshold_uncertainty_score":0.998159,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01430602428441698,"score_gpt":0.2982002585587601,"score_spread":0.2838942342743431,"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."}}