{"id":"W7105994466","doi":"10.63489/acad.2025.35752","title":"The Irving Whale and Environmental Governance in the Gulf of St. Lawrence","year":2025,"lang":"en","type":"article","venue":"Acadiensis","topic":"International Environmental Law and Policies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Allison University; St. Francis Xavier University","funders":"","keywords":"BARGE; Bureaucracy; Whale; Lift (data mining); Politics; Corporate governance; Environmental policy","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"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":[0.0009818943,0.0001533065,0.0001356762,0.0006312404,0.01049403,0.00674522,0.0009266757,0.002009697,0.004138662],"category_scores_gemma":[0.001896483,0.0002935102,0.0001089526,0.001138426,0.01200418,0.001333588,0.002578859,0.002440914,0.0002459208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04586932,"about_ca_system_score_gemma":0.04675242,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9333584,"about_ca_topic_score_gemma":0.9829254,"domain_scores_codex":[0.9988241,0.0001627898,0.00002390962,0.0001446274,0.0003016613,0.0005429322],"domain_scores_gemma":[0.9993704,0.0001138177,0.00009029952,0.00003339238,0.0001978434,0.0001942421],"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":[0.00004592359,0.0000609227,0.01492856,0.00007514474,0.00002722024,0.0007204184,0.02129694,0.001752052,0.0009573721,0.8784207,0.04729655,0.03441818],"study_design_scores_gemma":[0.00003437944,0.0000474168,0.05405319,0.0003817243,0.00003626984,0.0001256062,0.05484635,0.001039605,0.001012177,0.06224051,0.8260913,0.00009150547],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.369503,0.00880178,0.001119647,0.126703,0.000284194,0.00004312537,0.000141467,0.00007348918,0.4933304],"genre_scores_gemma":[0.8771681,0.002798495,0.0004686881,0.006464981,0.00004070342,0.00001736278,0.00005364996,0.00001451643,0.1129736],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06664163,"threshold_uncertainty_score":0.3328068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004282876751901987,"score_gpt":0.2050065007458,"score_spread":0.200723623993898,"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."}}