{"id":"W3031501022","doi":"","title":"Automated Analysis of Public Health Laboratory Test Results.","year":2020,"lang":"en","type":"article","venue":"PubMed","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Interpretability; Generalizability theory; Computer science; Artificial intelligence; Machine learning; Class (philosophy); Test (biology); Code (set theory); Natural language processing; Data mining; Programming language; Statistics; Mathematics","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":[0.006094886,0.0008420015,0.0006939083,0.01277422,0.0005541542,0.002459199,0.001064343,0.0005921752,0.003683944],"category_scores_gemma":[0.03401871,0.0002177856,0.0007296434,0.006657399,0.0004341226,0.001828838,0.001308639,0.000613497,0.0034649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008185878,"about_ca_system_score_gemma":0.002583943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003047441,"about_ca_topic_score_gemma":0.003269195,"domain_scores_codex":[0.9926564,0.002150254,0.001161051,0.001094076,0.002748587,0.0001896136],"domain_scores_gemma":[0.9543436,0.02154496,0.008334941,0.004795922,0.01048248,0.0004980359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00068373,0.00039199,0.09396329,0.003933636,0.0003793798,0.00111468,0.001102079,0.004554209,0.01954169,0.005830508,0.06269974,0.8058051],"study_design_scores_gemma":[0.0002260427,0.0007862257,0.2751413,0.003318659,0.0010761,0.005296365,0.00455463,0.1342097,0.1241661,0.06062086,0.3902911,0.0003129251],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1773786,0.01775281,0.5127171,0.006894908,0.001331956,0.002461631,0.2114828,0.03295163,0.03702853],"genre_scores_gemma":[0.4877937,0.005373081,0.3643894,0.001110389,0.0006135837,0.0008276081,0.1337503,0.0006948781,0.005447203],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01277422,"threshold_uncertainty_score":0.03223324,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05605477607937127,"score_gpt":0.2789610636699819,"score_spread":0.2229062875906107,"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."}}