{"id":"W2153921149","doi":"10.1016/j.jmir.2008.07.010","title":"CT Teaching Manual—A Systematic Approach to CT Reading","year":2008,"lang":"en","type":"article","venue":"Journal of medical imaging and radiation sciences","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint John Regional Hospital","funders":"","keywords":"German; Radiological weapon; Reading (process); Medicine; Interpretation (philosophy); Radiology; Computed tomography; Clinical Practice; Medical practice; Nuclear medicine; Medical education; Family medicine; Linguistics; Philosophy","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":[0.002400378,0.00009531454,0.0002415407,0.0002587867,0.0003171831,0.00008019542,0.0002589603,0.00001053052,0.000004834842],"category_scores_gemma":[0.0007672967,0.00006749439,0.00004378714,0.0002135978,0.0001280711,0.0005783917,0.00002154535,0.0003171022,0.00000332787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003974256,"about_ca_system_score_gemma":0.00004960893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004449651,"about_ca_topic_score_gemma":9.672132e-8,"domain_scores_codex":[0.998304,0.00007363864,0.0004325949,0.0001084825,0.0008809664,0.0002003034],"domain_scores_gemma":[0.9993052,0.0002319352,0.0001197493,0.00005998163,0.00002867273,0.0002543912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002547859,0.000428945,0.05727254,0.01132908,0.0003703017,0.002117877,0.04701751,0.2861606,0.003610133,0.009083954,0.05417092,0.5284126],"study_design_scores_gemma":[0.0008349441,0.00005590277,0.00359489,0.004094702,0.00006648669,0.01888634,0.01463925,0.9508758,0.000470356,0.0005306234,0.005490211,0.0004604566],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5353075,0.01347036,0.4362057,0.004167276,0.001781952,0.0002111842,0.000001000239,0.0001411412,0.008713942],"genre_scores_gemma":[0.9915689,0.0005718119,0.007244359,0.0002843769,0.000292585,0.000002030056,1.904162e-7,0.000007360078,0.00002838716],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6647152,"threshold_uncertainty_score":0.2752341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01518232822593582,"score_gpt":0.2939900353966991,"score_spread":0.2788077071707633,"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."}}