{"id":"W2607134300","doi":"10.1016/j.psep.2017.04.005","title":"Accident risk-based life cycle assessment methodology for green and safe fuel selection","year":2017,"lang":"en","type":"article","venue":"Process Safety and Environmental Protection","topic":"Risk and Safety Analysis","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Life-cycle assessment; Engineering; Liquefied natural gas; Hazardous waste; Waste management; SAFER; Risk assessment; Risk analysis (engineering); Production (economics); Natural gas; Computer science; Business","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":[0.002470959,0.001090634,0.0008286605,0.002975308,0.0004851186,0.001038805,0.001386058,0.0007036716,0.003383745],"category_scores_gemma":[0.004155227,0.0004062128,0.001352597,0.00105792,0.0003165449,0.001093859,0.0008325886,0.0006981865,0.000372646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001444958,"about_ca_system_score_gemma":0.002138554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00788256,"about_ca_topic_score_gemma":0.006814354,"domain_scores_codex":[0.999159,0.0002747518,0.00004162338,0.00008990058,0.0003631093,0.00007168682],"domain_scores_gemma":[0.9982838,0.0008150151,0.0001641649,0.0001054087,0.0005853467,0.00004621767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005519439,0.0001084211,0.002008599,0.00008857431,0.000123366,0.00005096552,0.00004007509,0.9225445,0.002910144,0.007829712,0.0004847772,0.06375559],"study_design_scores_gemma":[0.000003995429,0.0000529406,0.0004205441,0.000008260628,0.0000279079,0.00002490258,0.00001156843,0.9940936,0.000919021,0.004020398,0.0004087573,0.000008105971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02876971,0.0001529003,0.9678887,0.00005237246,0.00001210279,0.0001429365,0.0001929243,0.0003009808,0.002487421],"genre_scores_gemma":[0.6485233,0.0002813799,0.3460476,0.00007028624,0.00002545118,0.0004949133,0.0006899188,0.0001111293,0.003756211],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00788256,"threshold_uncertainty_score":0.01567334,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09600088561083082,"score_gpt":0.3821928622220201,"score_spread":0.2861919766111893,"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."}}