{"id":"W1518272765","doi":"10.19030/jiep.v3i1.8942","title":"Keystone XL Pipeline","year":2014,"lang":"en","type":"article","venue":"Journal of International Energy Policy (JIEP)","topic":"Literature, Politics, and Exile Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"ConocoPhillips","keywords":"Pipeline (software); Keystone species; Political science; Business; Engineering; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002722987,0.0001439548,0.00020797,0.0001670076,0.00007688913,0.00005448081,0.0004444968,0.00005897758,0.000669053],"category_scores_gemma":[0.0003818887,0.0001123364,0.0001508523,0.00009440355,0.000163148,0.0002913066,0.000163949,0.0001584325,0.0001090784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002784434,"about_ca_system_score_gemma":0.00003016673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001049333,"about_ca_topic_score_gemma":0.00008878232,"domain_scores_codex":[0.9985424,0.00004925418,0.0004687462,0.0001329307,0.0005614675,0.0002451552],"domain_scores_gemma":[0.9992201,0.00007824253,0.0003127205,0.000133725,0.00009493237,0.0001602218],"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":[0.0002475716,0.0006079531,0.02464581,0.00001709935,0.0004364849,0.00008022062,0.002260279,0.009759559,0.006641478,0.4728965,0.4445722,0.03783488],"study_design_scores_gemma":[0.0005939105,0.0001008496,0.01122597,0.00002886465,0.00001462921,0.0001753584,0.0000375278,0.001271743,0.001783848,0.0132977,0.971316,0.0001536058],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0838455,0.0003739934,0.009298593,0.02500311,0.00422061,0.00004862045,0.00003961146,0.0000420314,0.8771279],"genre_scores_gemma":[0.9686511,0.00018764,0.000936177,0.006291601,0.004448554,0.000001574092,0.000005236573,0.00001544008,0.01946267],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8848056,"threshold_uncertainty_score":0.7325661,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00620277216797516,"score_gpt":0.251533429881317,"score_spread":0.2453306577133418,"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."}}