{"id":"W2266204788","doi":"10.1017/s1049023x0002553x","title":"Theme 4. Effective Models for Medical and Health Response Coordination: Summary and Action Plan","year":2001,"lang":"en","type":"article","venue":"Prehospital and Disaster Medicine","topic":"Disaster Response and Management","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Armed Forces; Capital Regional District","funders":"","keywords":"Theme (computing); Action (physics); Mandate; Identification (biology); Strengths and weaknesses; Plan (archaeology); Public relations; Action plan; Set (abstract data type); Process management; Incentive; Emergency management; Computer science; Psychology; Political science; Business; Management; Social psychology; Law","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":[0.001830228,0.0001691707,0.0003167197,0.0001139061,0.0003822829,0.00001106881,0.00006068866,0.00009926662,0.00007261563],"category_scores_gemma":[0.0002010435,0.0001183112,0.00001839307,0.00007559163,0.000177662,0.0002375489,0.0001603616,0.0001863604,0.000003285631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004334484,"about_ca_system_score_gemma":0.00005472859,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001605753,"about_ca_topic_score_gemma":0.0001062762,"domain_scores_codex":[0.9983765,0.0003602307,0.0003421631,0.0003327741,0.0002593946,0.0003289016],"domain_scores_gemma":[0.9985211,0.000831621,0.0001103729,0.0001402228,0.00004447504,0.000352224],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.02575131,0.0004655666,0.03334038,0.004020363,0.0003199715,0.00008064815,0.3049955,0.000002804172,0.0002226202,0.02513343,0.1051222,0.5005452],"study_design_scores_gemma":[0.03277945,0.01237151,0.3899381,0.005896473,0.000264953,0.0001552145,0.2334554,0.01187184,0.000006607888,0.04430526,0.2679363,0.001018936],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9316336,0.002678183,0.008181751,0.0503425,0.0003772007,0.002230325,0.00001670598,0.00006489215,0.004474846],"genre_scores_gemma":[0.9879143,0.000867016,0.0000691711,0.00511313,0.0003169496,0.0004289999,0.000032902,0.00001906837,0.005238517],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4995263,"threshold_uncertainty_score":0.4824592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08460010183633869,"score_gpt":0.4227128773044943,"score_spread":0.3381127754681555,"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."}}