{"id":"W2036489217","doi":"10.1016/j.carj.2010.03.004","title":"“V V O I”: A Swift Hand Motion in Detecting Atelectasis on Frontal Chest Radiographs","year":2010,"lang":"en","type":"article","venue":"Canadian Association of Radiologists Journal","topic":"Ultrasound in Clinical Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Victoria Hospital; Royal Victoria Regional Health Centre; McGill University Health Centre; Montreal General Hospital; Vancouver General Hospital; University of British Columbia","funders":"","keywords":"Medicine; Atelectasis; Radiography; Swift; Nuclear medicine; Motion (physics); Radiology; Lung; Internal medicine; Artificial intelligence","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":[0.001323334,0.001131666,0.0004396719,0.001715984,0.0002701055,0.0006516115,0.001323547,0.001568773,0.002083678],"category_scores_gemma":[0.005294811,0.0004387816,0.0003644498,0.0003493303,0.0005668257,0.001363132,0.0008191491,0.0009680607,0.001495796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001246313,"about_ca_system_score_gemma":0.0003139219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004996229,"about_ca_topic_score_gemma":0.001078285,"domain_scores_codex":[0.9991198,0.0002773539,0.00009404129,0.0001356463,0.0002993309,0.00007379823],"domain_scores_gemma":[0.9986975,0.0006212826,0.0002003603,0.0001056883,0.0002324456,0.0001428313],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001108576,0.0001848078,0.01275176,0.0006656421,0.00005991979,0.002805147,0.0002048453,0.0007894051,0.09712593,0.0009399098,0.01361212,0.8697519],"study_design_scores_gemma":[0.0008601429,0.009188342,0.09291827,0.001486019,0.0006712152,0.2793576,0.0007551592,0.08463507,0.4019664,0.005986699,0.1210793,0.001095872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1951211,0.01211342,0.7630586,0.004434433,0.003466328,0.0006755767,0.0002467048,0.007029779,0.01385408],"genre_scores_gemma":[0.2867936,0.005365839,0.6992657,0.00137706,0.002019955,0.0002172382,0.0001576282,0.0003366963,0.004466233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002083678,"threshold_uncertainty_score":0.006998479,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01785451087418094,"score_gpt":0.2865510698034856,"score_spread":0.2686965589293047,"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."}}