{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007959363,0.00116229,0.001526776,0.002141633,0.003016366,0.003275348,0.004325105,0.01558464,0.05579099],"category_scores_gemma":[0.114148,0.0008090028,0.001566216,0.001978645,0.00378647,0.003675979,0.003489542,0.01862793,0.04400899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003988484,"about_ca_system_score_gemma":0.004654816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007543089,"about_ca_topic_score_gemma":0.006554475,"domain_scores_codex":[0.9909117,0.00193128,0.001364023,0.001442423,0.003429038,0.0009214312],"domain_scores_gemma":[0.9404263,0.02171492,0.004477684,0.003897183,0.02722891,0.002254988],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00001434601,0.000003566874,0.00006875555,0.00004447184,0.000004688008,0.0004227835,0.00006355636,0.00001311412,0.00002651192,0.0007697279,0.9922835,0.006285096],"study_design_scores_gemma":[0.00001374047,0.00001473684,0.0002534476,0.0003377289,0.00001600612,0.00256243,0.0002272615,0.00006922708,0.0001574959,0.001457807,0.9948635,0.00002664959],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0003295788,0.001934,0.001476533,0.556131,0.4302668,0.00005092454,0.0004670138,0.0009157906,0.008428453],"genre_scores_gemma":[0.007943948,0.00271239,0.002299763,0.7809353,0.1504158,0.0001632719,0.0005370891,0.0007109509,0.05428141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05579099,"threshold_uncertainty_score":0.1866394,"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."}}