{"id":"W4392110974","doi":"10.33002/enrlaw-333/c8","title":"International Law Application to Transboundary Pollution: Solutions to Mitigate Mining Contamination in the Elk–Kootenai River Watershed","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Oxford; Université de Montréal; Fordham University; Mitacs; McGill University","keywords":"Treaty; Pollution; Commission; Watershed; Environmental protection; Environmental planning; Environmental law; Geography; Environmental science; Political science; Law; Ecology","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":[0.01169994,0.0008493071,0.0005385017,0.001729557,0.01802802,0.02323816,0.004816598,0.01925704,0.006935586],"category_scores_gemma":[0.01485682,0.0006357715,0.0009326302,0.003172847,0.02418618,0.006001212,0.01133772,0.01471478,0.0008490256],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03927303,"about_ca_system_score_gemma":0.1240979,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5746685,"about_ca_topic_score_gemma":0.6386123,"domain_scores_codex":[0.9851983,0.002634128,0.0008027073,0.00141476,0.006203383,0.003746676],"domain_scores_gemma":[0.9943801,0.001669049,0.0003819165,0.0004654619,0.002608454,0.0004950716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000006407402,0.00003730331,0.001022692,0.00009665026,0.000009552047,0.0006866811,0.0134061,0.0009107373,0.0004441962,0.9223604,0.04365602,0.01736324],"study_design_scores_gemma":[0.00001817417,0.00003084338,0.002060426,0.0007944849,0.0000434971,0.0003489323,0.02670892,0.0009313002,0.0009142694,0.08100406,0.8870718,0.00007333954],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0154387,0.004234489,0.01184901,0.1165588,0.001208341,0.0003559454,0.0001152584,0.000126513,0.8501129],"genre_scores_gemma":[0.461998,0.01157541,0.02610833,0.08946083,0.0005803233,0.000679037,0.0004113319,0.0002010095,0.4089857],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5746685,"threshold_uncertainty_score":0.8556727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02172694454383347,"score_gpt":0.2560258198714477,"score_spread":0.2342988753276143,"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."}}