{"id":"W4206633123","doi":"10.1093/ajcp/aqac012","title":"CAP-ACP Workload Model for Advanced Diagnostics in Precision Medicine","year":2022,"lang":"en","type":"article","venue":"American Journal of Clinical Pathology","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; Nova Scotia Health Authority; Hospital for Sick Children; London Health Sciences Centre; Royal Inland Hospital; Western University; University of Alberta; University of Saskatchewan; McGill University; University of Calgary; Manitoba Health","funders":"","keywords":"Workload; Quality assurance; Medical laboratory; Computer science; Medical physics; Precision medicine; Medicine; External quality assessment; Pathology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001586481,0.0001237772,0.0006010396,0.00008832373,0.00005725617,0.000003482814,0.0003294294,0.00006842316,0.00001619523],"category_scores_gemma":[0.00441593,0.0001127098,0.0001970725,0.000133245,0.0003437815,0.00000290138,0.0001812532,0.0003550929,5.679087e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002905806,"about_ca_system_score_gemma":0.0002710996,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008134093,"about_ca_topic_score_gemma":0.00003637806,"domain_scores_codex":[0.9979728,0.0002318545,0.001136136,0.000266634,0.0001547217,0.0002378853],"domain_scores_gemma":[0.9975934,0.001021465,0.0008356066,0.0002541255,0.0001606669,0.0001347566],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.008284974,0.001015274,0.0523122,0.00001489876,0.0001134261,0.0002974765,0.000508493,0.1324245,0.0199263,0.0003002958,0.01854034,0.7662618],"study_design_scores_gemma":[0.0631404,0.1921774,0.1303273,0.0004688329,0.0008179702,0.002675654,0.007793134,0.05188495,0.003549449,0.03720154,0.5068067,0.003156734],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662832,0.002727486,0.02823959,0.001499948,0.0009349492,0.0001725121,0.00004754582,0.000002065995,0.0000926906],"genre_scores_gemma":[0.9809496,0.006326935,0.009321611,0.002700186,0.0005593192,0.00003166658,0.00001888291,0.0000234191,0.00006840006],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7631051,"threshold_uncertainty_score":0.5286599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03438960980607866,"score_gpt":0.3887141263747265,"score_spread":0.3543245165686478,"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."}}