{"id":"W2075004999","doi":"10.1177/154193120204600321","title":"A Field Study of Emergency Ambulance Dispatching: Implications for Decision Support","year":2002,"lang":"en","type":"article","venue":"Proceedings of the Human Factors and Ergonomics Society Annual Meeting","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Decision support system; Work (physics); Domain (mathematical analysis); Computer science; Field (mathematics); Abstraction; Emergency medical services; Operations research; Knowledge management; Medical emergency; Engineering; Medicine; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002443178,0.0001272168,0.0002157451,0.00003028555,0.0004056434,0.00001883117,0.0002450309,0.00007924972,0.0002371514],"category_scores_gemma":[0.0001243168,0.00009939627,0.0002038304,0.00008653384,0.00003283413,0.0001492403,0.00009448297,0.0001324807,0.000001223991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002309523,"about_ca_system_score_gemma":0.00000327005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008429677,"about_ca_topic_score_gemma":0.00001836697,"domain_scores_codex":[0.998992,0.000006721531,0.0005299514,0.0002340414,0.00007675672,0.0001605211],"domain_scores_gemma":[0.9989625,0.0001754896,0.0004939719,0.0001181515,0.0002069278,0.00004294303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001019464,0.0008593642,0.7208398,0.0001182442,0.0002342386,1.29729e-8,0.2029078,0.00001164234,0.003571885,0.009032126,0.06013267,0.002190287],"study_design_scores_gemma":[0.001140679,0.0008367581,0.8924685,0.00009084163,0.0001071751,0.000001977885,0.09854772,0.0004802469,0.0007557758,0.002154833,0.003090009,0.0003254523],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972081,0.0000242425,0.00007515351,0.0001715165,0.0003520049,0.0003717102,0.00004132528,0.00002600327,0.001729936],"genre_scores_gemma":[0.9988918,0.00002174985,0.0002747467,0.00005203587,0.00007070489,0.0000390751,0.000001772916,0.00001471528,0.0006333815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1716288,"threshold_uncertainty_score":0.4053262,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04841328890268924,"score_gpt":0.3468758238895676,"score_spread":0.2984625349868784,"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."}}