{"id":"W2315195020","doi":"10.2118/0215-030-twa","title":"Keystone XL Pipeline: Rhetoric vs. Economics","year":2015,"lang":"en","type":"article","venue":"The Way Ahead","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Keystone species; Legislation; Politics; Law; Political science; Law and economics; Economics; Ecology","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":[0.005736292,0.0006527462,0.0003903441,0.002341775,0.007084404,0.01521518,0.001100557,0.009225216,0.01601142],"category_scores_gemma":[0.0150322,0.000439226,0.0003301621,0.002294882,0.01658216,0.02245284,0.003735606,0.008572827,0.002594548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01308651,"about_ca_system_score_gemma":0.003392973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01220279,"about_ca_topic_score_gemma":0.009990015,"domain_scores_codex":[0.9963528,0.001969057,0.00009030254,0.0004215354,0.0008284,0.0003379553],"domain_scores_gemma":[0.9894301,0.008926244,0.0003170838,0.0002505759,0.0008557133,0.0002202905],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006676171,0.000002756383,0.00003746502,0.00001695659,0.000001267881,0.00002738815,0.0007772878,0.00003681147,0.00002803973,0.9700568,0.02678952,0.002219073],"study_design_scores_gemma":[0.00001893667,0.00002566503,0.0002903603,0.0002937382,0.000008466192,0.0000815788,0.003206949,0.000555655,0.0002531061,0.4448217,0.5504113,0.00003259729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006345752,0.01499092,0.004391017,0.3676624,0.003105039,0.00002365534,0.00007461412,0.00006296702,0.6033437],"genre_scores_gemma":[0.5581701,0.0151401,0.004207406,0.1779591,0.01128454,0.0002617961,0.0000935409,0.0004377023,0.2324456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01601142,"threshold_uncertainty_score":0.09494966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02531274936800843,"score_gpt":0.2379795994489124,"score_spread":0.2126668500809039,"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."}}