{"id":"W4312880955","doi":"10.2139/ssrn.4222408","title":"Long-term Contracts and Efficiency in the Liquefied Natural Gas Industry","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Global Energy and Sustainability Research","field":"Energy","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Term (time); Liquefied natural gas; Natural (archaeology); Natural gas; Natural gas industry; Business; Environmental science; Waste management; Engineering; Geology; Physics","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":[0.003200228,0.0001367248,0.0004093606,0.0007231706,0.000887942,0.003432377,0.0008759496,0.001459302,0.00741745],"category_scores_gemma":[0.01088546,0.0001531928,0.0003187414,0.001521876,0.001609547,0.003603673,0.001669898,0.001419319,0.0005289745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003088232,"about_ca_system_score_gemma":0.002250053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01231161,"about_ca_topic_score_gemma":0.01563313,"domain_scores_codex":[0.9989038,0.0003438098,0.00007575437,0.00009340439,0.0002394358,0.000343855],"domain_scores_gemma":[0.98338,0.008402779,0.003895302,0.0005587652,0.002029097,0.001734056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001831084,0.001519052,0.6158958,0.0002159961,0.0002052498,0.0009309362,0.002948077,0.04723096,0.001948684,0.2498824,0.003608007,0.07378379],"study_design_scores_gemma":[0.0001530435,0.0009423393,0.7578018,0.0003425605,0.0001432517,0.0003721578,0.01902823,0.04545584,0.003001572,0.1511352,0.02151774,0.0001062786],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9775669,0.001135971,0.001789493,0.001452524,0.00001398228,0.00001414185,0.0001821041,0.000009225712,0.01783567],"genre_scores_gemma":[0.9946114,0.0002857431,0.00009048484,0.00003150802,0.00001049898,0.000005031749,0.000107594,0.000004043825,0.004853711],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01231161,"threshold_uncertainty_score":0.02481383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007384825023949642,"score_gpt":0.2643271455747258,"score_spread":0.2569423205507761,"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."}}