{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00823429,0.002027366,0.0008356029,0.002385066,0.001725545,0.005253138,0.004501517,0.001833912,0.005274272],"category_scores_gemma":[0.01961335,0.0006766098,0.001163882,0.002416664,0.00124796,0.00300228,0.002298252,0.002002809,0.001633956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01432291,"about_ca_system_score_gemma":0.01644075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1398607,"about_ca_topic_score_gemma":0.08759572,"domain_scores_codex":[0.9913367,0.002939305,0.0003175173,0.001077726,0.002951975,0.00137673],"domain_scores_gemma":[0.9839272,0.004150636,0.001131103,0.001104955,0.008524446,0.001161764],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004904998,0.0004447835,0.03026233,0.0003720369,0.0001321708,0.0003740771,0.001188292,0.7673208,0.003047839,0.08304684,0.03190618,0.08141427],"study_design_scores_gemma":[0.0000351188,0.0002218286,0.007841985,0.00009616125,0.00003561012,0.0001449027,0.000475277,0.9574856,0.001113835,0.01685143,0.01562339,0.0000748636],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1174646,0.001016669,0.76104,0.006980262,0.0004070625,0.004736174,0.005280737,0.00508613,0.09798829],"genre_scores_gemma":[0.772046,0.0004958372,0.2093447,0.0007573807,0.0001331656,0.001864908,0.003459171,0.0002292047,0.01166964],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1398607,"threshold_uncertainty_score":0.2780932,"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."}}