{"id":"W4391733408","doi":"10.1016/j.knosys.2024.111493","title":"Plausible reasoning over large health datasets: A novel approach to data analytics leveraging semantics","year":2024,"lang":"en","type":"article","venue":"Knowledge-Based Systems","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Semantics (computer science); Knowledge representation and reasoning; Ontology; Question answering; Information retrieval; Semantic Web; Analytics; Natural language processing; Artificial intelligence; Data science","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001542382,0.0002823731,0.0003769134,0.0001712922,0.0001835585,0.0002228696,0.0007519656,0.0002229311,0.000006953027],"category_scores_gemma":[0.0003002765,0.0002463785,0.00007478808,0.0004867918,0.00006566639,0.000009042126,0.0005420457,0.0002356101,0.00005079035],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001070384,"about_ca_system_score_gemma":0.0006886369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001809333,"about_ca_topic_score_gemma":0.0001425823,"domain_scores_codex":[0.9975712,0.0001314923,0.000447215,0.0009757966,0.0002638448,0.000610447],"domain_scores_gemma":[0.9982919,0.00007036619,0.0000849455,0.00120415,0.00006002685,0.0002886217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009109734,0.0009526268,0.002142317,0.003420083,0.0005299107,0.00002412128,0.0006298838,0.001061121,0.01331177,0.002251885,0.9672971,0.008288082],"study_design_scores_gemma":[0.000483837,0.0001337494,0.0001023964,0.0006424019,0.00003753293,0.00002617009,0.0003884959,0.2936901,0.0003641347,0.000001218362,0.7038347,0.0002952598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00801407,0.02597555,0.9553701,0.0005433789,0.001696666,0.0006201653,0.005223362,0.0002578934,0.002298839],"genre_scores_gemma":[0.972585,0.00005076653,0.01531494,0.0005117463,0.001052147,0.00004337404,0.009380462,0.00007637872,0.0009851395],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.964571,"threshold_uncertainty_score":0.9999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0843420894697554,"score_gpt":0.35170762492839,"score_spread":0.2673655354586346,"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."}}