{"id":"W4221088816","doi":"10.1136/jclinpath-2022-208170","title":"Characterising the use of surgical pathology rush requests: a descriptive analysis and survey","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Pathology","topic":"Radiology practices and education","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; London Health Sciences Centre","funders":"","keywords":"Medicine; Descriptive statistics; General surgery; Pathology; Medical emergency","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":[],"consensus_categories":[],"category_scores_codex":[0.002937139,0.0001336334,0.0002355932,0.003240297,0.0003853991,0.0007185924,0.0004749564,0.0003130265,0.001524448],"category_scores_gemma":[0.01336718,0.0002748432,0.0002749284,0.002304111,0.0005250326,0.001115936,0.001077453,0.0004188055,0.0003735074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007165369,"about_ca_system_score_gemma":0.001093455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003129314,"about_ca_topic_score_gemma":0.004006724,"domain_scores_codex":[0.997171,0.000779673,0.0007153761,0.0002530764,0.0006534447,0.000427456],"domain_scores_gemma":[0.979537,0.007034834,0.0100112,0.0004263216,0.001701155,0.001289544],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003533242,0.00003247016,0.9951282,0.00004491874,0.00001047558,0.0001292119,0.001354374,0.00004650502,0.0002054555,0.00003430651,0.0002033031,0.002775442],"study_design_scores_gemma":[0.000001666916,0.0001415447,0.9891222,0.00004208044,0.000006000167,0.000716885,0.008677698,0.0002069596,0.0001686521,0.00002227303,0.0008836512,0.00001050471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984817,0.0001349219,0.0001874722,0.0001290013,0.000003877053,0.00002884897,0.0004532168,0.000006473755,0.0005744535],"genre_scores_gemma":[0.9988973,0.0002117315,0.0002515148,0.00009046092,0.00001083872,0.00004299629,0.000363009,0.00000486388,0.0001271253],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003240297,"threshold_uncertainty_score":0.01553327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2761641503459602,"score_gpt":0.4552247214386675,"score_spread":0.1790605710927073,"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."}}