{"id":"W1924375177","doi":"10.3109/08039488.2012.747176","title":"Journal of Visual Communication in Medicine","year":2012,"lang":"en","type":"article","venue":"Journal of Visual Communication in Medicine","topic":"Digital Imaging in Medicine","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Medical education; Computer science; Medicine","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","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01172595,0.0003444941,0.001767404,0.002108844,0.00007684494,0.00001702806,0.001071708,0.0001996045,0.0003574995],"category_scores_gemma":[0.007062798,0.0002469626,0.0001570301,0.001443369,0.001113128,0.001153273,0.0002114089,0.002326968,0.0000111907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005609225,"about_ca_system_score_gemma":0.0002988609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000139551,"about_ca_topic_score_gemma":0.00002805151,"domain_scores_codex":[0.9929374,0.0009556868,0.003800763,0.0001423783,0.001670953,0.0004928271],"domain_scores_gemma":[0.992482,0.001649869,0.002837026,0.0009335351,0.001565755,0.000531832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00525891,0.01143005,0.7389371,0.001077605,0.000743561,0.0003784503,0.04526776,0.0001115814,0.04170534,0.003486312,0.07805954,0.07354379],"study_design_scores_gemma":[0.05049647,0.01599834,0.7733519,0.04540143,0.001311943,0.01014664,0.03773897,0.001703375,0.002189118,0.00295561,0.05789891,0.0008072607],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8870159,0.05022145,0.001287296,0.04843295,0.00107378,0.0005375004,0.000001075251,0.00002579732,0.01140421],"genre_scores_gemma":[0.9841564,0.00898624,0.003526234,0.001986489,0.00109527,0.000005352753,0.00002792665,0.00005279053,0.0001632766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09714048,"threshold_uncertainty_score":0.9999983,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05950675926107045,"score_gpt":0.4433181458340915,"score_spread":0.3838113865730211,"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."}}