{"id":"W148402895","doi":"10.3233/978-1-60750-044-5-643","title":"Computerizing Clinical Pathways: Ontology-Based Modeling and Execution","year":2009,"lang":"en","type":"article","venue":"Studies in health technology and informatics","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer science; Ontology; Workflow; Abstraction; Software engineering; Point (geometry); Information retrieval; Programming language; Database","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":[0.0006184333,0.0001128195,0.00029448,0.0001481271,0.0001473849,0.000005313786,0.0000851674,0.0003324061,1.41004e-7],"category_scores_gemma":[0.0003443707,0.00009592779,0.00001981542,0.0001271695,0.0005275473,0.000004520319,0.0001072999,0.0002360182,4.208312e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001342486,"about_ca_system_score_gemma":0.0000564158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002201922,"about_ca_topic_score_gemma":0.000009895286,"domain_scores_codex":[0.9989105,0.00004058864,0.0006056456,0.0001436906,0.00004646397,0.0002530604],"domain_scores_gemma":[0.9996009,0.00003498528,0.0001302659,0.0001497876,0.00003864485,0.000045385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001294311,0.0001329895,0.02266097,0.0006230953,0.00007442865,0.000007252977,0.001599218,0.0002861848,0.0001444753,0.007986072,0.001068973,0.9652869],"study_design_scores_gemma":[0.014663,0.02809112,0.03455489,0.003025083,0.00007937691,0.0005392861,0.05970196,0.6850173,0.001350855,0.06806727,0.1024433,0.002466576],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635748,0.01380017,0.01751221,0.004626858,0.000186208,0.0001453784,0.000002582414,0.00006710718,0.00008465852],"genre_scores_gemma":[0.9547795,0.007285458,0.03518009,0.002701845,0.00003183407,0.000007390324,0.000008083831,0.000002814514,0.000002988361],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9628204,"threshold_uncertainty_score":0.3911822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1061958295246904,"score_gpt":0.4035119140561456,"score_spread":0.2973160845314552,"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."}}