{"id":"W2037013710","doi":"10.1111/j.1740-8261.2009.01534.x","title":"COMPARISON OF SINGLE‐SLICE COMPUTED TOMOGRAPHY PROTOCOLS FOR DETECTION OF PULMONARY NODULES IN DOGS","year":2009,"lang":"en","type":"article","venue":"Veterinary Radiology & Ultrasound","topic":"Microbial infections and disease research","field":"Immunology and Microbiology","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Medicine; Repeatability; Nuclear medicine; Collimated light; Nodule (geology); Tomography; Radiology; Radiography; Solitary pulmonary nodule; Thorax (insect anatomy); Computed tomography; Anatomy; Mathematics; Optics","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":[0.005506537,0.0005869105,0.0005702214,0.001653907,0.0001874593,0.0006750543,0.0006272562,0.000812151,0.0003603227],"category_scores_gemma":[0.01187706,0.0009752027,0.0003611838,0.0003915027,0.0004898648,0.0007466073,0.0004150403,0.0002967578,0.0001871248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005026661,"about_ca_system_score_gemma":0.0003115904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006922167,"about_ca_topic_score_gemma":0.001891486,"domain_scores_codex":[0.9978942,0.0008324477,0.0002247205,0.0003056128,0.0006226539,0.0001203494],"domain_scores_gemma":[0.9917598,0.004362671,0.001625552,0.0005480006,0.001386233,0.0003178216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01126896,0.0009808056,0.4951647,0.0007354401,0.0007360456,0.001245954,0.001248537,0.009074417,0.3970665,0.0001914562,0.000421131,0.08186603],"study_design_scores_gemma":[0.0002006892,0.01324815,0.8239216,0.0001064884,0.0006359923,0.005780521,0.0006826993,0.02844832,0.1255404,0.0002381896,0.001090052,0.0001068991],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950157,0.0003970355,0.00409925,0.00001937125,0.000007899853,0.00008459595,0.00004742209,0.00004700878,0.0002817223],"genre_scores_gemma":[0.9835712,0.0003168533,0.01559073,0.00003196359,0.00001010697,0.0000944828,0.0001934268,0.00003047391,0.0001607268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005506537,"threshold_uncertainty_score":0.02912164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04898852639336836,"score_gpt":0.3495563585455166,"score_spread":0.3005678321521482,"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."}}