{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008070889,0.001208883,0.0009175813,0.008991137,0.003358348,0.002967968,0.003348598,0.002014024,0.02881865],"category_scores_gemma":[0.03785745,0.001237287,0.0007985625,0.002556511,0.002090701,0.00324931,0.005224082,0.004242218,0.01845843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002051146,"about_ca_system_score_gemma":0.01025516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00309458,"about_ca_topic_score_gemma":0.01104599,"domain_scores_codex":[0.9909031,0.002833077,0.001556135,0.0008258836,0.003597705,0.0002840882],"domain_scores_gemma":[0.9514576,0.01810061,0.002056521,0.006092685,0.01996317,0.002329427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000811502,0.0004991982,0.001566379,0.0006274933,0.00001405787,0.0009609619,0.003321337,0.0006789612,0.01388351,0.004135074,0.1144795,0.8597524],"study_design_scores_gemma":[0.0001118797,0.0004875471,0.01370797,0.002263282,0.00007489562,0.01327498,0.005123436,0.008809448,0.02411721,0.02624224,0.9054165,0.0003707247],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01536964,0.002269345,0.865234,0.01237852,0.002016263,0.006221114,0.001498754,0.01976018,0.07525215],"genre_scores_gemma":[0.02497422,0.001761195,0.9236185,0.00338094,0.0009237517,0.002385619,0.0009660997,0.003170085,0.03881969],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02881865,"threshold_uncertainty_score":0.09640795,"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."}}