{"id":"W2098032517","doi":"10.7763/ijmlc.2014.v4.412","title":"Multi-Agent Decision-Making Support Model for the Management of Pre-Hospital Emergency Services","year":2014,"lang":"en","type":"article","venue":"International Journal of Machine Learning and Computing","topic":"Scheduling and Timetabling Solutions","field":"Decision Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Operations research","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":[0.0009663408,0.000629915,0.000580509,0.0004482135,0.0006948115,0.001703409,0.001509258,0.001451597,0.003289596],"category_scores_gemma":[0.001558076,0.0002612939,0.0006594176,0.0004565298,0.00047022,0.001015627,0.000887309,0.001120825,0.0005850108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001397356,"about_ca_system_score_gemma":0.001952118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005936054,"about_ca_topic_score_gemma":0.005829024,"domain_scores_codex":[0.9993923,0.0002094247,0.00004109508,0.0001274675,0.0001463743,0.00008331668],"domain_scores_gemma":[0.999464,0.0002219707,0.00008739837,0.0000290804,0.0001223425,0.00007517975],"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":[0.0001015692,0.00009790704,0.0005963501,0.00006718279,0.0000379407,0.0002239734,0.0001207552,0.9481716,0.001323647,0.0388967,0.0009156666,0.009446766],"study_design_scores_gemma":[0.00001743866,0.00002979275,0.00009997904,0.000007033206,0.00001358084,0.0000176844,0.00001796187,0.9922609,0.0002161568,0.005934435,0.001378906,0.000006179573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06282824,0.0004351393,0.9212446,0.001578627,0.0001541769,0.000248639,0.0004511898,0.000521847,0.01253757],"genre_scores_gemma":[0.871606,0.0004249502,0.1183828,0.0001716157,0.00006987258,0.0004177974,0.0003319547,0.00003388601,0.008561152],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005936054,"threshold_uncertainty_score":0.01180303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03611740005890104,"score_gpt":0.3936136450845981,"score_spread":0.357496245025697,"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."}}