{"id":"W4383617629","doi":"10.1007/978-3-031-35389-5_25","title":"An Emergency Centre Dispatcher Task Analysis","year":2023,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Evacuation and Crowd Dynamics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Thales (Canada); National Research Council Canada","funders":"Public Safety Canada","keywords":"Call centre; Computer science; Task (project management); Context (archaeology); Work (physics); Emergency response; Task analysis; Operations research; Telecommunications; Medical emergency; Engineering; Systems engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0008563391,0.0009677183,0.0007409503,0.001420874,0.000850847,0.001094482,0.0008379008,0.0005764975,0.0118861],"category_scores_gemma":[0.002200165,0.000362589,0.0009045087,0.001462494,0.0001633033,0.001067162,0.0006322637,0.0008829798,0.002224398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008513554,"about_ca_system_score_gemma":0.001350981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01935584,"about_ca_topic_score_gemma":0.01727808,"domain_scores_codex":[0.9995751,0.0000927504,0.00001984955,0.00008716534,0.0001554298,0.00006974344],"domain_scores_gemma":[0.9992076,0.0004181635,0.0000268662,0.00006556637,0.0002444492,0.00003743734],"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":[0.0007870779,0.0005617305,0.005996669,0.0002976746,0.000148685,0.0002899735,0.0004164442,0.3049098,0.01184596,0.01115893,0.06544689,0.5981402],"study_design_scores_gemma":[0.00001594095,0.00009093007,0.00544646,0.00002113711,0.00003131785,0.00006803616,0.0002243208,0.975865,0.002728796,0.006085032,0.009395793,0.00002718669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1541985,0.0008084641,0.7991616,0.0009188906,0.0004353748,0.0005243326,0.006026757,0.002935468,0.03499075],"genre_scores_gemma":[0.5506286,0.0006264597,0.3606839,0.0001818226,0.0002104301,0.0003509341,0.009327356,0.0009296723,0.07706091],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01935584,"threshold_uncertainty_score":0.03976291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01016083491385531,"score_gpt":0.2369641575665715,"score_spread":0.2268033226527162,"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."}}