{"id":"W2096003416","doi":"10.1111/j.1740-8261.2012.01924.x","title":"A COMPARISON OF COMPUTED TOMOGRAPHY, COMPUTED RADIOGRAPHY, AND FILM‐SCREEN RADIOGRAPHY FOR THE DETECTION OF CANINE PULMONARY NODULES","year":2012,"lang":"en","type":"article","venue":"Veterinary Radiology & Ultrasound","topic":"Radiology practices and education","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Radiography; Computed tomography; Radiology; Nuclear medicine; Tomography; Computed radiography; Image quality","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":[0.0006909817,0.0002944955,0.0009039618,0.0005761627,0.0002424994,0.000009404986,0.0001983479,0.0002760123,0.0000187912],"category_scores_gemma":[0.0001100921,0.0002276196,0.0003659854,0.0007283409,0.0009781318,0.0001944895,0.00003778555,0.0003024967,6.597207e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002297451,"about_ca_system_score_gemma":0.00002476764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002911061,"about_ca_topic_score_gemma":0.000009563604,"domain_scores_codex":[0.9980481,0.0002871496,0.0006998138,0.0003573197,0.0001397444,0.0004678402],"domain_scores_gemma":[0.9962551,0.002389476,0.0005527448,0.0004714671,0.0001581287,0.0001731137],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001769936,0.0007346614,0.7921115,0.0002906792,0.001016697,0.000003164437,0.0008240839,0.00007275101,0.1961047,0.0001214857,0.0006895787,0.006260768],"study_design_scores_gemma":[0.001177503,0.004185795,0.9796052,0.00006641248,0.0007385019,0.004629889,0.0007492912,0.002658025,0.002285688,0.00003860826,0.003647885,0.0002172139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9681747,0.02370859,0.005964702,0.0001989965,0.000769511,0.000970557,0.00007585353,0.00005763862,0.00007943455],"genre_scores_gemma":[0.9938856,0.000849773,0.004413941,0.00009548705,0.0004428855,0.00007632294,0.0001951145,0.00003162835,0.000009255034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.193819,"threshold_uncertainty_score":0.928206,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04175375701539102,"score_gpt":0.3292518821333826,"score_spread":0.2874981251179916,"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."}}