{"id":"W4362505948","doi":"10.1111/vru.13232","title":"Providing comparison normal examples alongside pathologic thoracic radiographic cases can improve veterinary students’ ability to identify abnormal findings or diagnose disease","year":2023,"lang":"en","type":"article","venue":"Veterinary Radiology & Ultrasound","topic":"Radiology practices and education","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Medicine; Radiography; Cohort; Disease; Intervention (counseling); Radiology; Correctness; Prospective cohort study; Pathology; Algorithm","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001819379,0.000639325,0.001054476,0.0007645041,0.0007040331,0.0001517342,0.0006263982,0.0003713747,0.0002133871],"category_scores_gemma":[0.003005751,0.0005465381,0.000316978,0.001153419,0.0006218751,0.00054438,0.0003205604,0.0007661947,0.0001572825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002933742,"about_ca_system_score_gemma":0.0003042436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003592582,"about_ca_topic_score_gemma":0.00004676671,"domain_scores_codex":[0.9949639,0.000951896,0.0009768626,0.001373084,0.0004236642,0.0013106],"domain_scores_gemma":[0.9942575,0.003387433,0.0003198764,0.001049061,0.0001288981,0.0008572862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006231761,0.0006980016,0.8693316,0.0004815424,0.0002356688,0.01645951,0.002523188,0.00008122512,0.09960646,0.000008706692,0.002360472,0.001981881],"study_design_scores_gemma":[0.001037465,0.009314822,0.954284,0.0001259776,0.0004291541,0.02861058,0.00223452,0.00004074026,0.0002488507,0.00004139975,0.003050535,0.0005820037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9935638,0.000634517,0.00003525175,0.001231062,0.001933043,0.001857094,0.0001838056,0.0005252498,0.00003615587],"genre_scores_gemma":[0.995232,0.0007036806,0.0007514612,0.0008216423,0.0006591481,0.000824812,0.0006641187,0.00008157679,0.0002615946],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09935761,"threshold_uncertainty_score":0.9996986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1070843197890348,"score_gpt":0.4286036683393801,"score_spread":0.3215193485503453,"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."}}