{"id":"W2044305975","doi":"10.1136/jcp.2008.061150","title":"Workload measurement in subspecialty dermatopathology","year":2008,"lang":"en","type":"article","venue":"Journal of Clinical Pathology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Calgary Laboratory Services; Royal Inland Hospital; University of Calgary","funders":"","keywords":"Dermatopathology; Subspecialty; Workload; Medicine; Pathology; Computer science","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":[0.003396674,0.0004694168,0.0001861382,0.001185836,0.0003709785,0.0005590938,0.0006571221,0.0004622857,0.002139566],"category_scores_gemma":[0.01337362,0.0001903031,0.0002350589,0.0006918115,0.0003189,0.0005548246,0.001338067,0.0003165869,0.000443446],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009689927,"about_ca_system_score_gemma":0.0007949648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001847414,"about_ca_topic_score_gemma":0.002235903,"domain_scores_codex":[0.9958339,0.001775201,0.0004860362,0.0004235388,0.001160285,0.0003210797],"domain_scores_gemma":[0.9892201,0.00191818,0.005850179,0.0003177287,0.001682205,0.001011664],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001631897,0.0001666496,0.972447,0.0001223493,0.00002864553,0.0001120063,0.0007952234,0.0005611634,0.002140369,0.00004836731,0.0006963739,0.02271866],"study_design_scores_gemma":[0.00000721589,0.0004863761,0.9954697,0.00003660151,0.000007602312,0.0003899598,0.0007853695,0.001061034,0.000896561,0.00006422644,0.0007859993,0.000009430089],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953211,0.0002757455,0.002190793,0.0001503295,0.00001921317,0.000136711,0.000227522,0.00002620273,0.001652396],"genre_scores_gemma":[0.9967146,0.00009818206,0.002492159,0.00005590336,0.00002457414,0.00008693796,0.0002654936,0.00000548321,0.0002566894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003396674,"threshold_uncertainty_score":0.01796353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.153341350890329,"score_gpt":0.3847308463706655,"score_spread":0.2313894954803365,"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."}}