{"id":"W7106286254","doi":"10.4224/40003205","title":"Supplementary data for \"Evaluation of a virtual reality training tool for firefighters responding to transportation incidents with dangerous goods\"","year":2023,"lang":"en","type":"dataset","venue":"NRC Digital Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Virtual reality; Training (meteorology); Poison control; Data collection","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":[],"consensus_categories":[],"category_scores_codex":[0.001519179,0.00263048,0.001401294,0.003226905,0.001112106,0.001919176,0.00377023,0.002766958,0.2263421],"category_scores_gemma":[0.008151393,0.0007531737,0.001629285,0.00355286,0.0005922551,0.00153735,0.002214672,0.002027659,0.1813915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001893517,"about_ca_system_score_gemma":0.002856717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04951306,"about_ca_topic_score_gemma":0.1134951,"domain_scores_codex":[0.9987624,0.000227611,0.0001675661,0.0002514089,0.000369489,0.0002217024],"domain_scores_gemma":[0.9947867,0.001822252,0.0002474731,0.0009212393,0.001788161,0.0004340783],"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":[0.00005597353,0.0000582633,0.000233469,0.0003570823,0.00001211194,0.00001179933,0.00001746393,0.0002360573,0.00006211543,0.000179776,0.9966428,0.002133118],"study_design_scores_gemma":[0.0008696501,0.0000842296,0.007986065,0.0005883722,0.0000668085,0.00009166539,0.0003547365,0.002083341,0.0008663854,0.002385197,0.9845223,0.0001012087],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001463715,0.00002265825,0.00009188143,0.00007289412,0.00006072575,0.00003434809,0.9984163,0.0003184333,0.0008364101],"genre_scores_gemma":[0.0004197765,0.0000269411,0.0005039572,0.00004790291,0.000009964586,0.0001854293,0.9973815,0.00007632776,0.001348077],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2263421,"threshold_uncertainty_score":0.7571898,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.102797547213734,"score_gpt":0.3657375397359581,"score_spread":0.2629399925222241,"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."}}