{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006454918,0.00005607941,0.00006528987,0.00003827224,0.0001761021,0.00003878466,0.000329955,0.00004962459,0.00007814822],"category_scores_gemma":[0.00004859904,0.00004699234,0.00001374534,0.0001296267,0.0002081759,0.000187399,0.000115378,0.0001663113,0.000007134428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001365048,"about_ca_system_score_gemma":0.00001743278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007116183,"about_ca_topic_score_gemma":0.002738416,"domain_scores_codex":[0.9991991,0.0002753182,0.0001547337,0.0001103636,0.0001634579,0.00009701625],"domain_scores_gemma":[0.9994854,0.0001477799,0.00007839388,0.000272497,0.000003074656,0.00001284483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003471292,0.000270587,0.9113522,0.000008002625,0.000006466666,0.00000146657,0.03652047,0.0004776046,0.001441645,0.04024262,0.001166484,0.008477699],"study_design_scores_gemma":[0.0003354426,0.00001101407,0.9309965,0.0000222124,0.000003587944,3.750407e-7,0.004739905,0.0006206773,0.0002268508,0.02548099,0.03749365,0.00006878978],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9823182,0.0008014582,0.00005454905,0.006073576,0.00003648242,0.0001877064,0.00001229379,0.000007363426,0.01050833],"genre_scores_gemma":[0.99795,0.0007328759,0.0001857834,0.000417218,0.00001951605,0.00001461366,0.00006373454,0.000002731796,0.0006135313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03632716,"threshold_uncertainty_score":0.1916292,"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."}}