{"id":"W1510479436","doi":"","title":"Developing a Prototype for Determining Alternative Sources of Natural Gas Supply","year":2011,"lang":"en","type":"article","venue":"Academy of Information and Management Sciences journal","topic":"Global Energy Security and Policy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Natural gas; Supply chain; Liquefied natural gas; Supply and demand; Pipeline transport; Liquefied petroleum gas; Order (exchange); Distribution (mathematics); Environmental science; Natural resource economics; Business; Economics; International trade; Environmental economics; Engineering; Finance; Waste management; Environmental engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001631369,0.001212703,0.001062558,0.001408911,0.0006379404,0.002602283,0.003748868,0.001837343,0.01743293],"category_scores_gemma":[0.004972924,0.000857915,0.001260066,0.001226307,0.0004843329,0.00247415,0.00147507,0.0007966722,0.003901327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008400481,"about_ca_system_score_gemma":0.001317669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004639938,"about_ca_topic_score_gemma":0.002522947,"domain_scores_codex":[0.9987048,0.0001760336,0.0001314647,0.0004462343,0.0004380238,0.0001035119],"domain_scores_gemma":[0.9979953,0.00100539,0.0001283008,0.000259663,0.0005112194,0.0001002274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002087065,0.001744087,0.01695929,0.002076604,0.0004017608,0.002622925,0.001773741,0.221902,0.06689291,0.01569771,0.02535418,0.6424877],"study_design_scores_gemma":[0.0003383278,0.0005875167,0.002179943,0.0001355831,0.0001339276,0.0005519383,0.0006103151,0.9224476,0.03754308,0.007176448,0.02819986,0.00009550094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05821818,0.0001102055,0.8779763,0.0002748517,0.0001008823,0.001442531,0.002734367,0.04930776,0.009834962],"genre_scores_gemma":[0.2045952,0.0001150162,0.7854844,0.0001152063,0.0000190622,0.0009536305,0.002653928,0.000901924,0.005161661],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01743293,"threshold_uncertainty_score":0.05831897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04588108754809226,"score_gpt":0.3019354734668386,"score_spread":0.2560543859187464,"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."}}