{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01175237,0.0007219015,0.0005724697,0.002560295,0.0002325198,0.0009432452,0.0006080901,0.0008382733,0.0004582605],"category_scores_gemma":[0.03455147,0.0007620074,0.0006075765,0.0006715395,0.0005863662,0.001182772,0.0006346086,0.0004364161,0.0001809396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004672356,"about_ca_system_score_gemma":0.0004716483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002049101,"about_ca_topic_score_gemma":0.004303005,"domain_scores_codex":[0.993469,0.003278235,0.0005415831,0.0006753433,0.001799962,0.0002358607],"domain_scores_gemma":[0.9735067,0.01715758,0.002589653,0.001086572,0.004859423,0.0008000857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01082004,0.0003930812,0.8458643,0.0006152886,0.0006227914,0.0005452247,0.001059218,0.001916239,0.03378125,0.0001296486,0.0004662431,0.1037867],"study_design_scores_gemma":[0.0002906414,0.01093354,0.9501792,0.0001279856,0.0006522229,0.00386791,0.0004406722,0.02234812,0.009763281,0.0001554027,0.001148909,0.0000922654],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9908594,0.002538365,0.005324644,0.00006533734,0.00003759683,0.00009648407,0.00005676027,0.0000668494,0.0009545017],"genre_scores_gemma":[0.9897043,0.0007912322,0.008963191,0.00005052239,0.00003387784,0.00003740414,0.0001896704,0.00001571178,0.0002141863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01175237,"threshold_uncertainty_score":0.06215322,"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."}}