{"id":"W4231937789","doi":"10.24124/2012/bpgub1534","title":"Cost-benefit analysis of Kitimat Liquified Natural Gas project of British Columbia","year":2012,"lang":"en","type":"dissertation","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Natural gas; Government (linguistics); Value (mathematics); Natural resource; Net present value; Resource (disambiguation); Liquefied natural gas; Business; Natural resource economics; Engineering; Finance; Economics; Waste management; Production (economics); Political science; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001247781,0.0005847817,0.0005568073,0.002279791,0.001118913,0.002812697,0.001513608,0.0007287081,0.007586236],"category_scores_gemma":[0.003949248,0.0004158284,0.0005552293,0.003241354,0.0005035076,0.0005058875,0.001011579,0.0009256026,0.0004093395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04160715,"about_ca_system_score_gemma":0.02330812,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9346743,"about_ca_topic_score_gemma":0.969075,"domain_scores_codex":[0.9981031,0.0004356471,0.00004475361,0.00008927997,0.0007327031,0.0005944278],"domain_scores_gemma":[0.998032,0.0004613103,0.0001028926,0.00006373737,0.001031073,0.0003089367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.006222384,0.001560993,0.2776825,0.001935699,0.001177314,0.005323736,0.001099547,0.4177932,0.006753152,0.03649626,0.03770868,0.2062466],"study_design_scores_gemma":[0.0009219934,0.002715696,0.6188051,0.0007504781,0.001435178,0.00125163,0.01426197,0.2877887,0.004346291,0.006904731,0.06043461,0.0003836486],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9139071,0.001257277,0.000830725,0.001105167,0.00002541514,0.0005877,0.005627969,0.00006306045,0.07659558],"genre_scores_gemma":[0.9712229,0.0009220146,0.0007453877,0.00009940346,0.000005088702,0.0001502748,0.001781827,0.00001957331,0.02505351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06532574,"threshold_uncertainty_score":0.3018824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008235591011346112,"score_gpt":0.2331284368731375,"score_spread":0.2248928458617914,"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."}}