{"id":"W7028492734","doi":"","title":"Federal loyalty in Canadian law: mitigating intergovernmental conflict during the Trans Mountain pipeline expansion project","year":2025,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Mining and Resource Management","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; Australian Government; Government of Alberta","keywords":"Pipeline (software); Loyalty; Government (linguistics); Public policy; Pipeline transport","routes":{"ca_aff":false,"ca_fund":true,"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":[0.007983284,0.000245791,0.0003702372,0.0012216,0.05974033,0.0113921,0.002569456,0.00602996,0.009863058],"category_scores_gemma":[0.02696783,0.0003716291,0.0003252352,0.002064927,0.008993478,0.002855461,0.00512698,0.01094428,0.0004946735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.1248131,"about_ca_system_score_gemma":0.3417468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9885507,"about_ca_topic_score_gemma":0.996466,"domain_scores_codex":[0.9903799,0.001324467,0.0001223283,0.0004425176,0.002250897,0.005479904],"domain_scores_gemma":[0.9823084,0.00529361,0.0008422252,0.000260312,0.00585164,0.005443901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002510274,0.000581259,0.06201503,0.0001475848,0.00006229419,0.001496109,0.2600357,0.001982252,0.001173197,0.1848012,0.3737051,0.1137493],"study_design_scores_gemma":[0.00005378411,0.000110019,0.09043089,0.0003218812,0.00008239369,0.0001005708,0.5548877,0.001354534,0.0006276027,0.007451808,0.3444402,0.0001386628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.5495048,0.001025988,0.0007575997,0.2109541,0.0004754308,0.0003009451,0.0001795495,0.00004007622,0.2367615],"genre_scores_gemma":[0.919866,0.0007722654,0.0005829262,0.02415531,0.00007709713,0.0001076649,0.00007423471,0.00003117763,0.05433343],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1248131,"threshold_uncertainty_score":0.9055868,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009591334377754382,"score_gpt":0.2203841358635972,"score_spread":0.2107928014858428,"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."}}