{"id":"W2145615996","doi":"10.5555/2429759.2429863","title":"SimPHO: an ontology for simulation modeling of population health","year":2012,"lang":"en","type":"article","venue":"Winter Simulation Conference","topic":"Data Analysis with R","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Arthritis Research Centre of Canada; Statistics Canada; McGill University","funders":"","keywords":"Computer science; Ontology; Interoperability; Population; Semantics (computer science); Reuse; Population health; Visualization; Software engineering; Data science; Knowledge management; Data mining; World Wide Web; Programming language; Medicine; Engineering","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":[0.0006210112,0.0001446765,0.0002896955,0.0002012136,0.00009893283,0.00007188359,0.0004544657,0.00007667096,0.00002464836],"category_scores_gemma":[0.0001427775,0.0001448338,0.00007569061,0.0002217045,0.00001729591,0.00226417,0.00008060393,0.00006568616,0.000008082641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007553266,"about_ca_system_score_gemma":0.00005855401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001985687,"about_ca_topic_score_gemma":0.0001267945,"domain_scores_codex":[0.9983699,0.0001474384,0.0005842328,0.0003362028,0.0002400453,0.0003221965],"domain_scores_gemma":[0.9982857,0.000234669,0.0003489426,0.0006208914,0.0003707377,0.0001390805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001770301,0.00006718485,0.006881805,0.00001995788,0.00001335682,3.174614e-8,0.001147898,0.9532504,0.00003644144,0.0175921,0.000008153527,0.02096494],"study_design_scores_gemma":[0.0003032496,0.0001039309,0.00641577,0.00002142243,0.00001082506,4.577956e-7,0.00003498216,0.9899458,0.00002729374,0.002758904,0.0002404528,0.0001369611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05607792,0.00003225276,0.9429337,0.0002727678,0.0002214233,0.0002946162,0.00001107757,0.00009007601,0.00006613218],"genre_scores_gemma":[0.9620937,9.861202e-7,0.03721476,0.0003475286,0.00009457211,0.00001066256,0.0002064146,0.00001030087,0.00002109564],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9060158,"threshold_uncertainty_score":0.5906152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107047589164962,"score_gpt":0.3858577302394277,"score_spread":0.2751529713229314,"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."}}