{"id":"W7115886513","doi":"10.1080/17524032.2025.2597449","title":"Corporate Masking: (In)visibility, Petro-nationalism, and Role Play in the Line 3 Pipeline Battle","year":2025,"lang":"en","type":"article","venue":"Environmental Communication","topic":"Water Governance and Infrastructure","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Battle; Pipeline (software); Line (geometry); Pipeline transport; Key (lock)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002283999,0.0002716175,0.0001362131,0.0005322623,0.007754997,0.006140938,0.000441034,0.001630354,0.003608714],"category_scores_gemma":[0.003153901,0.0001957443,0.0001555157,0.0004107187,0.01944648,0.00349069,0.006444661,0.001879255,0.0002370935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002687235,"about_ca_system_score_gemma":0.001553729,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004986041,"about_ca_topic_score_gemma":0.008432415,"domain_scores_codex":[0.9974946,0.001390669,0.00003655884,0.00019893,0.0003938051,0.0004855573],"domain_scores_gemma":[0.9985639,0.0007229144,0.0002564689,0.0001666987,0.00009258247,0.0001972901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001491352,0.00009055331,0.01141113,0.00006838179,0.00001515791,0.001171072,0.5419391,0.0007347032,0.008393276,0.3947303,0.003156577,0.03814062],"study_design_scores_gemma":[0.00003482369,0.0003558859,0.02584194,0.0002427614,0.00003918519,0.001257576,0.637022,0.002740414,0.01020543,0.08299579,0.2391617,0.0001023727],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8513244,0.0002378337,0.007020231,0.004440233,0.00006224972,0.00001740222,0.000006159284,0.00003185483,0.1368597],"genre_scores_gemma":[0.9968245,0.00002850817,0.0002388755,0.0001141722,0.000005357896,0.00000325353,0.000001396418,0.000006555397,0.002777478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.995014,"threshold_uncertainty_score":0.01949733,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01503743793427513,"score_gpt":0.2697613272354942,"score_spread":0.254723889301219,"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."}}