{"id":"W1943925430","doi":"10.1111/risa.12063","title":"Transport Mode Selection for Toxic Gases: Rail or Road?","year":2013,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McMaster University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Hazardous waste; Truck; Transport engineering; Mode (computer interface); Mode of transport; Dangerous goods; Selection (genetic algorithm); Risk assessment; Risk analysis (engineering); Engineering; Computer science; Business; Public transport; Computer security; Waste management","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":[0.0007704484,0.0006055537,0.0003199247,0.000933887,0.0002835463,0.0009001421,0.0006301684,0.0006058675,0.005329108],"category_scores_gemma":[0.002125414,0.0001851401,0.0007177762,0.0006178613,0.000426997,0.001276439,0.0005408185,0.0003263844,0.0008074782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005491603,"about_ca_system_score_gemma":0.000823405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009350036,"about_ca_topic_score_gemma":0.01980358,"domain_scores_codex":[0.9996085,0.0001419177,0.00002116997,0.00008000505,0.00008357291,0.00006485522],"domain_scores_gemma":[0.99925,0.0001899572,0.0002202932,0.00006266971,0.000211926,0.00006515402],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009723662,0.0003846615,0.4458362,0.0004754112,0.0004251215,0.001143789,0.0009454143,0.1268516,0.05230927,0.02425554,0.007210736,0.3391898],"study_design_scores_gemma":[0.0001733426,0.0034106,0.3132387,0.0007551856,0.0009031086,0.002857965,0.01216848,0.5121266,0.05766401,0.05347735,0.04277541,0.0004492886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8660814,0.0006764557,0.1156018,0.001620229,0.00007638877,0.0002946596,0.00108347,0.0003676255,0.01419793],"genre_scores_gemma":[0.9743658,0.000443699,0.02112046,0.0001099375,0.00001140407,0.0000451136,0.0002902849,0.00003742615,0.003575883],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009350036,"threshold_uncertainty_score":0.01859123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05191178467073245,"score_gpt":0.3648910209435177,"score_spread":0.3129792362727853,"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."}}