{"id":"W1531695817","doi":"10.1002/0470043423.app1","title":"Appendix A: Incident Command Post Systems Position Description Checklists","year":2006,"lang":"en","type":"other","venue":"","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Response Biomedical (Canada)","funders":"U.S. Department of Homeland Security","keywords":"Citation; Position (finance); Computer science; Information retrieval; Library science; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002988365,0.001877049,0.0008541714,0.004932607,0.001249528,0.001681296,0.002161376,0.00110812,0.7511179],"category_scores_gemma":[0.03066544,0.001438124,0.000615978,0.003737447,0.0003770884,0.001985057,0.001389681,0.001060857,0.4073823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001714692,"about_ca_system_score_gemma":0.004548026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01159402,"about_ca_topic_score_gemma":0.01546547,"domain_scores_codex":[0.9982824,0.0004762675,0.0002911573,0.0001427112,0.0006901377,0.000117332],"domain_scores_gemma":[0.9577886,0.01606213,0.002277118,0.002497342,0.02024796,0.001126737],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006275066,0.00007392558,0.0003169768,0.0002501278,0.00000233726,0.00002252987,0.00002529943,0.0008044809,0.0001186959,0.0005569003,0.9800596,0.01770635],"study_design_scores_gemma":[0.0003915504,0.000163229,0.003371999,0.0004746364,0.00001520221,0.0001043824,0.0001575956,0.003471337,0.0009446422,0.00316768,0.9876862,0.00005161134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.002707021,0.0002030798,0.04016307,0.001563354,0.001212144,0.01159889,0.7126123,0.02203188,0.2079082],"genre_scores_gemma":[0.01509138,0.0005020298,0.1044639,0.001682543,0.0003921929,0.02231617,0.5880179,0.007449223,0.2600846],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7511179,"threshold_uncertainty_score":0.3550001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04112676623091115,"score_gpt":0.3191678124608373,"score_spread":0.2780410462299261,"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."}}