{"id":"W4293821710","doi":"10.33002/jelp02.02.02","title":"International Law Application to Transboundary Pollution: Solutions to Mitigate Mining Contamination in the Elk–Kootenai River Watershed","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Law & Policy","topic":"Environmental Policies and Emissions","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treaty; Pollution; Commission; Watershed; Environmental protection; Environmental planning; Geography; Environmental science; Law; Political science; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.01333685,0.0008448557,0.0005350934,0.001790432,0.01794811,0.02252381,0.005073004,0.02099723,0.006300999],"category_scores_gemma":[0.01828763,0.0006088156,0.0009517546,0.003155326,0.02459856,0.005958803,0.01274273,0.01506731,0.0007217458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03528008,"about_ca_system_score_gemma":0.119114,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5657201,"about_ca_topic_score_gemma":0.6040612,"domain_scores_codex":[0.9832154,0.003124432,0.0009467647,0.001685487,0.006975345,0.004052581],"domain_scores_gemma":[0.9930322,0.002182723,0.0005568549,0.00062917,0.002989426,0.0006096093],"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":[0.000007782437,0.00004466157,0.001461888,0.0000981919,0.00001278661,0.0008719616,0.01187835,0.001088731,0.0005097766,0.9258164,0.04004119,0.01816833],"study_design_scores_gemma":[0.00002697992,0.00004168347,0.00292952,0.0008353128,0.00006035437,0.0004498047,0.02830259,0.001415352,0.001224825,0.1004324,0.8641804,0.0001008353],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02037701,0.003781467,0.01522756,0.1375349,0.001265816,0.0004020994,0.0001186637,0.0001442044,0.8211482],"genre_scores_gemma":[0.5443546,0.008743647,0.02600677,0.09407482,0.0005499256,0.0006869272,0.0003720757,0.0001828272,0.3250285],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4342799,"threshold_uncertainty_score":0.873675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008515022068831625,"score_gpt":0.234879601349105,"score_spread":0.2263645792802734,"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."}}