{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01528842,0.000202339,0.0002684278,0.001001647,0.0004514483,0.001606928,0.0004007368,0.0008437334,0.002575379],"category_scores_gemma":[0.09784585,0.0002164392,0.0004089855,0.0006821011,0.0007426494,0.001010885,0.0007005328,0.0005126589,0.0005184163],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000776966,"about_ca_system_score_gemma":0.0007091073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001222317,"about_ca_topic_score_gemma":0.001607686,"domain_scores_codex":[0.9793648,0.01365963,0.002535807,0.0006621861,0.003287005,0.0004906745],"domain_scores_gemma":[0.8782211,0.08822697,0.01989241,0.001915439,0.008135213,0.003608817],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00164786,0.0002373848,0.8911513,0.0006526772,0.0002041157,0.001545492,0.02688862,0.0004836626,0.004778831,0.0002456421,0.003388072,0.06877629],"study_design_scores_gemma":[0.0003181673,0.003156664,0.8700132,0.001207958,0.0002391944,0.02344092,0.07950035,0.003318454,0.003671525,0.001075385,0.01379402,0.0002641777],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940164,0.001080526,0.0006987671,0.001738364,0.00003871236,0.00004328382,0.0001136576,0.00001917077,0.002251067],"genre_scores_gemma":[0.9973783,0.0005063916,0.001263858,0.0005477545,0.00004528798,0.00002747599,0.00006099549,0.00001038286,0.0001595949],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9847116,"threshold_uncertainty_score":0.08085382,"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."}}