{"id":"W2018710975","doi":"10.3174/ajnr.a2218","title":"Style and Content of CT and MR Imaging Lumbar Spine Reports: Radiologist and Clinician Preferences","year":2010,"lang":"en","type":"article","venue":"American Journal of Neuroradiology","topic":"Radiology practices and education","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"London Health Sciences Centre","funders":"","keywords":"Medicine; Lumbar spine; Radiology; Modality (human–computer interaction); Medical physics; Surgery","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":[0.0006840131,0.0001151962,0.0006543503,0.0001335321,0.00004626403,0.000009716652,0.00005427103,0.00002792844,0.00001027473],"category_scores_gemma":[0.001080462,0.00008472845,0.00004269709,0.00007488929,0.001631006,0.0001212519,0.00002650624,0.0004845556,1.413024e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006477197,"about_ca_system_score_gemma":0.00009063016,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001039227,"about_ca_topic_score_gemma":0.000009139545,"domain_scores_codex":[0.9987833,0.0001783142,0.0005997712,0.0002107205,0.00006702298,0.0001608823],"domain_scores_gemma":[0.9980615,0.0002555788,0.001218859,0.0001609246,0.0001291783,0.0001739618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000158782,0.00005252022,0.868188,0.00001865481,0.00007909414,0.0002961931,0.0002091252,4.201768e-7,0.05791477,0.00004862544,0.0001887465,0.07284508],"study_design_scores_gemma":[0.0005642227,0.003311263,0.9312856,0.00002553152,0.0001587494,0.06105389,0.00149731,0.00005042314,0.0001463368,0.0001226995,0.001710093,0.00007384946],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921961,0.001296995,0.000019531,0.005771167,0.0005119069,0.00009364493,0.000001283655,0.000005241601,0.0001041403],"genre_scores_gemma":[0.9933814,0.00356845,0.001849712,0.0009452003,0.0002236013,0.000001349098,0.000001614346,0.000008856463,0.0000198449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07277123,"threshold_uncertainty_score":0.600951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03478035207824184,"score_gpt":0.3315622330573863,"score_spread":0.2967818809791445,"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."}}