{"id":"W174939126","doi":"","title":"A framework for analyzing changes in health care lexicons and nomenclatures","year":2010,"lang":"en","type":"dissertation","venue":"Spectrum Research Repository (Concordia University)","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Ontology; Rotation formalisms in three dimensions; Computer science; Open Biomedical Ontologies; Domain (mathematical analysis); IDEF5; Notation; Data science; Domain knowledge; Knowledge representation and reasoning; Process ontology; Process (computing); Knowledge management; Artificial intelligence; Ontology alignment; Epistemology; 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":[0.01162437,0.0009993445,0.0009319934,0.01374823,0.003003492,0.009892518,0.004229103,0.002820414,0.009222258],"category_scores_gemma":[0.02404413,0.001087363,0.003835653,0.009567443,0.005192818,0.01653817,0.0053975,0.002939374,0.003166586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005336574,"about_ca_system_score_gemma":0.00685305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02693496,"about_ca_topic_score_gemma":0.01574837,"domain_scores_codex":[0.9919474,0.002676378,0.001122713,0.002025249,0.001775347,0.0004529231],"domain_scores_gemma":[0.988957,0.004217077,0.001480848,0.00273182,0.002136123,0.0004771734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003001766,0.00004259118,0.001195805,0.0001110427,0.00004801359,0.0003072472,0.001444274,0.007667861,0.000920282,0.9187063,0.005591579,0.06393498],"study_design_scores_gemma":[0.00002849192,0.000046617,0.001255925,0.0002204699,0.00009477031,0.0005792505,0.00139153,0.08962228,0.001338613,0.6917812,0.2135496,0.00009135256],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002958708,0.0005417534,0.9780897,0.001502945,0.0001537161,0.000351368,0.001271324,0.001954991,0.01317545],"genre_scores_gemma":[0.03951997,0.0003836906,0.9538391,0.0002541172,0.0001057577,0.000421264,0.00206015,0.0002419383,0.003173951],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02693496,"threshold_uncertainty_score":0.06147623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03351364123017803,"score_gpt":0.3285688815622818,"score_spread":0.2950552403321037,"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."}}