{"id":"W4280601503","doi":"10.1111/anti.12848","title":"Pipelines in the “Public Interest”? The Jurisdictional Work of a Concept in Canadian Pipeline Assessment","year":2022,"lang":"en","type":"article","venue":"Antipode","topic":"Mining and Resource Management","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Jurisdiction; Public interest; Politics; Mandate; Indigenous; Public administration; State (computer science); Work (physics); Law and economics; Political science; National interest; Pipeline (software); Law; Business; Engineering; Economics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"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":["sts"],"consensus_categories":[],"category_scores_codex":[0.02134987,0.000375227,0.0005338966,0.00379759,0.01802742,0.02024293,0.002867018,0.004197533,0.007651893],"category_scores_gemma":[0.0312839,0.0004645202,0.0005229486,0.00383096,0.07661094,0.01167322,0.006855848,0.006175222,0.0004548786],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08477232,"about_ca_system_score_gemma":0.10862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8660464,"about_ca_topic_score_gemma":0.8530777,"domain_scores_codex":[0.9841493,0.005701527,0.000382205,0.001298342,0.005764731,0.002703823],"domain_scores_gemma":[0.9771503,0.01002163,0.0009232222,0.001646948,0.008959205,0.001298612],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000004683535,0.000003190082,0.0003703898,0.00001514133,0.000002639526,0.00003228011,0.004514031,0.0002091527,0.00005088001,0.988153,0.002396961,0.004247606],"study_design_scores_gemma":[0.00002094174,0.00002070633,0.003850005,0.0004985836,0.00004507041,0.0001334054,0.02992333,0.002199483,0.0005919314,0.6644493,0.298148,0.0001192504],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05493028,0.006098444,0.04268588,0.159122,0.0006668502,0.0001075416,0.0001870546,0.0001062585,0.7360957],"genre_scores_gemma":[0.9809113,0.0009598542,0.003231362,0.002995309,0.0001160325,0.0000334091,0.00002322476,0.00004063319,0.0116889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9819726,"threshold_uncertainty_score":0.6150691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02091140846275824,"score_gpt":0.2415231113527365,"score_spread":0.2206117028899782,"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."}}