{"id":"W2319353658","doi":"10.2166/wp.2016.150","title":"The Columbia River Treaty: the politics and possibilities for change","year":2016,"lang":"en","type":"article","venue":"Water Policy","topic":"Transboundary Water Resource Management","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treaty; Notice; Negotiation; Politics; Scope (computer science); Drainage basin; Watershed; Political science; Distribution (mathematics); Geography; Public administration; Business; Law","routes":{"ca_aff":false,"ca_fund":false,"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":[0.01313572,0.0004805937,0.0006095231,0.001593553,0.0200965,0.02328604,0.002232176,0.01123989,0.009045907],"category_scores_gemma":[0.01718266,0.0005050544,0.0005154128,0.003315493,0.04046175,0.007859149,0.006040223,0.01544432,0.0007983167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04108252,"about_ca_system_score_gemma":0.06188684,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5195797,"about_ca_topic_score_gemma":0.5576525,"domain_scores_codex":[0.9858987,0.004498916,0.000260677,0.001346513,0.005099367,0.002895809],"domain_scores_gemma":[0.9949089,0.002573616,0.0003359652,0.0004837369,0.0009127771,0.0007850024],"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":[0.00001212824,0.00001209928,0.0003218362,0.00001551294,0.000005650278,0.00009435397,0.002099704,0.0003716681,0.00008258523,0.952336,0.03562192,0.009026537],"study_design_scores_gemma":[0.00002140952,0.0000145285,0.001770133,0.0002638248,0.00001436741,0.00004467325,0.004953857,0.0006832225,0.0001241962,0.2808638,0.7111614,0.00008459549],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01834249,0.006757553,0.002992685,0.2862906,0.001369439,0.00005123605,0.000116718,0.00006568946,0.6840135],"genre_scores_gemma":[0.6911822,0.006573855,0.003412914,0.08662692,0.001957679,0.000253259,0.0001772968,0.0002048069,0.209611],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4804203,"threshold_uncertainty_score":0.9664991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03762292791477831,"score_gpt":0.3001927189451334,"score_spread":0.262569791030355,"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."}}