{"id":"W2980858477","doi":"","title":"The Economy, Environment, and Politics in the Canadian Pipeline Regulatory Process","year":2016,"lang":"en","type":"article","venue":"SMU Scholar (Southern Methodist University)","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Politics; Process (computing); Political science; Political economy; Natural resource economics; Economic system; Economics; Business; Computer science; Engineering; Law; Mechanical 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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001469667,0.00008977495,0.00008212869,0.00006978045,0.001574653,0.0001325357,0.000522344,0.00009917359,0.00006358375],"category_scores_gemma":[0.0001676106,0.00005097465,0.00003295464,0.000150291,0.000559669,0.0003335382,0.00003478562,0.0002232176,0.00002997909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003397665,"about_ca_system_score_gemma":0.0002988841,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04152818,"about_ca_topic_score_gemma":0.2742772,"domain_scores_codex":[0.9986228,0.0006075965,0.00008685997,0.0001844153,0.0001571029,0.0003412699],"domain_scores_gemma":[0.9993849,0.0001472726,0.00006733749,0.0002279175,0.00002901061,0.0001435758],"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":[0.00005041558,0.00003004383,0.2569647,0.00001732081,0.0000419454,0.00008610937,0.08433604,0.00001084416,0.0001292315,0.6215131,0.00150101,0.03531914],"study_design_scores_gemma":[0.0002276087,0.000006885731,0.01191118,0.000008898076,0.00001146183,9.600672e-7,0.02365342,0.000001542893,0.00002907442,0.01272478,0.9513206,0.0001035657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8337774,0.0002002741,0.0003922597,0.01637771,0.000123622,0.0003912365,0.0001405528,0.00002590869,0.148571],"genre_scores_gemma":[0.9854211,0.0001218473,0.0002077963,0.0003456271,0.0001433375,7.607173e-7,0.000001249559,0.000008076338,0.01375017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9498196,"threshold_uncertainty_score":0.9997252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01239216212017483,"score_gpt":0.2315273296663475,"score_spread":0.2191351675461727,"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."}}