{"id":"W2471908139","doi":"10.1016/j.aap.2016.06.021","title":"Hazard perception in emergency medical service responders","year":2016,"lang":"en","type":"article","venue":"Accident Analysis & Prevention","topic":"Traffic and Road Safety","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Alberta Health Services","keywords":"Perception; Occupational safety and health; Hazard; Test (biology); Human factors and ergonomics; Emergency medical services; Poison control; Injury prevention; Medical emergency; Suicide prevention; Service (business); Applied psychology; Transport engineering; Computer security; Engineering; Psychology; Medicine; Computer science; Business; Marketing","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":[0.001325497,0.0001722076,0.0001734356,0.0006877705,0.0004309147,0.001064481,0.0002583143,0.0007506912,0.005114739],"category_scores_gemma":[0.01244341,0.0001451883,0.0002868423,0.0002444308,0.0003118541,0.0004870795,0.0006719445,0.0008017474,0.0005720679],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000460809,"about_ca_system_score_gemma":0.0004592087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005038568,"about_ca_topic_score_gemma":0.002882949,"domain_scores_codex":[0.9991975,0.0003870261,0.00004962365,0.00005530293,0.0001628138,0.0001475835],"domain_scores_gemma":[0.9953056,0.001949631,0.001130365,0.0001566274,0.0007980015,0.0006596928],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00172756,0.0007692729,0.9501854,0.0001347359,0.00008330858,0.000515494,0.01560449,0.0005969408,0.002621843,0.000389199,0.001978488,0.02539318],"study_design_scores_gemma":[0.00002710439,0.000985672,0.9672093,0.00007340694,0.00003605706,0.0004546941,0.0278933,0.001197262,0.0004075043,0.0003725825,0.00130994,0.00003323377],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976022,0.00009275768,0.0001436069,0.0002753766,0.00002064848,0.000008191761,0.00005391327,0.000004908707,0.00179833],"genre_scores_gemma":[0.9994497,0.00004376973,0.00005957659,0.00006348865,0.000008944754,0.000004659852,0.00003783388,0.000002141986,0.0003299352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005114739,"threshold_uncertainty_score":0.01711047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0101465880035376,"score_gpt":0.2616255211731482,"score_spread":0.2514789331696107,"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."}}