{"id":"W2803941974","doi":"10.31482/mmsl.2011.003","title":"ONTOLOGICAL MODELS AND EXPERT SYSTEMS IN DECISION SUPPORT OF EMERGENCY SITUATIONS","year":2011,"lang":"en","type":"article","venue":"Military Medical Science Letters","topic":"Advanced Data Processing Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Decision support system; Computer science; Management science; Expert system; Knowledge management; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003838645,0.0005937956,0.0006777899,0.002161559,0.001194146,0.004220996,0.001766571,0.002655164,0.003170632],"category_scores_gemma":[0.009405861,0.0004957696,0.0012527,0.00199744,0.003562362,0.006745581,0.002311822,0.002149364,0.0008345808],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001921001,"about_ca_system_score_gemma":0.00183744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004656144,"about_ca_topic_score_gemma":0.004373373,"domain_scores_codex":[0.9965062,0.001751395,0.0004159607,0.0003481622,0.0008110206,0.0001672536],"domain_scores_gemma":[0.9956344,0.002843902,0.0003489428,0.0004801223,0.0005377474,0.0001548477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001394442,0.00002612786,0.0002327199,0.0001165342,0.00002790398,0.000206155,0.0006178145,0.01887228,0.0003922229,0.959719,0.002223797,0.01755158],"study_design_scores_gemma":[0.00001557936,0.00001267659,0.0001723987,0.0001152299,0.00001978387,0.00009769441,0.0002588936,0.06286339,0.000304946,0.9142878,0.02182903,0.00002263301],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01059974,0.003221975,0.9362807,0.01144229,0.000275955,0.0001754542,0.0004143267,0.0002610117,0.03732852],"genre_scores_gemma":[0.3092233,0.00476569,0.6726414,0.001971747,0.0005709479,0.0004813222,0.001219228,0.00007350209,0.009052785],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004656144,"threshold_uncertainty_score":0.02030092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05906204890036086,"score_gpt":0.3068979272334542,"score_spread":0.2478358783330933,"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."}}