{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006132636,0.0000809972,0.0001357926,0.0001270197,0.00003930354,0.000002156673,0.0003712981,0.00005881194,0.00008641493],"category_scores_gemma":[0.0002422074,0.00006559665,0.00001378778,0.0003342387,0.0003868349,0.0005403502,0.00008227007,0.0001246577,0.00000163847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004410738,"about_ca_system_score_gemma":0.00002202189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002624222,"about_ca_topic_score_gemma":0.00005769485,"domain_scores_codex":[0.9987543,0.00001410456,0.0003024026,0.0002128661,0.0004879328,0.0002283677],"domain_scores_gemma":[0.999603,0.00004025229,0.00001370892,0.0001840473,0.00001792036,0.000141027],"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":[0.0001446802,0.0007917162,0.02035197,0.0006420994,0.00004107746,0.0006675497,0.03788492,0.03484732,0.2611673,0.009656325,0.06276298,0.5710421],"study_design_scores_gemma":[0.000476769,0.0001711797,0.0155445,0.0003572364,0.000006237028,0.00005750408,0.0005837296,0.9566586,0.00353712,0.02097021,0.001049543,0.0005873641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.47747,0.001106952,0.5202657,0.0003598019,0.0002487919,0.0001053803,0.000004092224,0.0001353683,0.0003039525],"genre_scores_gemma":[0.9482841,0.0006988792,0.05076729,0.0002056482,0.00001508188,0.00002073282,0.000002445801,0.000005195024,6.505524e-7],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9218113,"threshold_uncertainty_score":0.2674954,"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."}}