{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005036261,0.00007986965,0.0002248267,0.00006858721,0.00002912782,0.00001136334,0.0001729786,0.0001036717,0.000003776582],"category_scores_gemma":[0.002367875,0.00006909951,0.00008047395,0.0008511554,0.0001185567,0.000001364806,0.0000686887,0.00005521,0.000001950106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009519638,"about_ca_system_score_gemma":0.00009786037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001228559,"about_ca_topic_score_gemma":0.00001817046,"domain_scores_codex":[0.9989941,0.0000849998,0.0002737073,0.0002526954,0.0001195133,0.0002750289],"domain_scores_gemma":[0.9992799,0.00003618768,0.0001430255,0.0002080329,0.00007695744,0.0002558895],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001703199,0.0005121767,0.09378449,0.0001433016,0.003143985,0.00001072811,0.0007883725,0.00007304954,0.01823536,0.00006008475,0.1880915,0.6949866],"study_design_scores_gemma":[0.0006398433,0.0002279744,0.722432,0.000001801929,0.00009555616,4.52647e-7,0.000155569,0.0009992796,0.005950399,0.000001498795,0.2693399,0.0001557888],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9135345,0.005569621,0.002008243,0.07125661,0.0002544774,0.0006961672,0.002780147,0.0007310883,0.003169187],"genre_scores_gemma":[0.9970796,0.00009146647,0.0004609491,0.001858917,0.00006427607,0.00005884393,0.0003143984,0.000006931215,0.00006458103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6948308,"threshold_uncertainty_score":0.2834739,"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."}}