{"id":"W1989953251","doi":"10.1097/acm.0000000000000074","title":"Am I Right When I Am Sure? Data Consistency Influences the Relationship Between Diagnostic Accuracy and Certainty","year":2013,"lang":"en","type":"article","venue":"Academic Medicine","topic":"Clinical Reasoning and Diagnostic Skills","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Western Hospital","funders":"","keywords":"Certainty; Medical diagnosis; Diagnostic accuracy; Consistency (knowledge bases); Context (archaeology); Medicine; Statistics; Psychology; Computer science; Mathematics; Artificial intelligence; Internal medicine; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0019461,0.0002710202,0.0006528089,0.00009786504,0.0002547889,0.00002261995,0.0006164319,0.0003676876,0.000778344],"category_scores_gemma":[0.5579084,0.0001454514,0.00004225283,0.0002790005,0.001216352,0.0002687538,0.0002964367,0.001486927,0.0002499361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003174388,"about_ca_system_score_gemma":0.0001721451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001436274,"about_ca_topic_score_gemma":0.00001615681,"domain_scores_codex":[0.9971551,0.0002426965,0.0009582369,0.0005932111,0.0006193772,0.0004314152],"domain_scores_gemma":[0.6683883,0.3285253,0.0004437386,0.001644855,0.0002369587,0.0007608798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001129683,0.00001089453,0.8898491,0.00003884922,0.00005730077,0.00001369504,0.0008182966,3.259509e-7,0.00001438297,0.001257403,0.1025082,0.005420256],"study_design_scores_gemma":[0.001676583,0.000206119,0.9610657,0.003147618,0.0006540449,0.00008563787,0.0006607139,0.00007032809,0.000009139487,0.02392779,0.008325759,0.000170567],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8841451,0.007316886,0.00009892715,0.1053492,0.0002811499,0.0009917313,0.00002807393,0.0000997653,0.001689187],"genre_scores_gemma":[0.989005,0.001828079,0.0001062501,0.006092956,0.001457705,0.00006431521,0.0003449864,0.00002411354,0.001076644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5559623,"threshold_uncertainty_score":0.8522321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1343602694132445,"score_gpt":0.3999045361787397,"score_spread":0.2655442667654952,"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."}}