{"id":"W2029277782","doi":"10.3390/su4061239","title":"Renegotiation of the 1987 Great Lakes Water Quality Agreement: From Confusion to Promise","year":2012,"lang":"en","type":"article","venue":"Sustainability","topic":"Water Resources and Governance","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Confusion; Scope (computer science); Corporate governance; Quality (philosophy); Process (computing); Ecosystem services; Environmental planning; Biodiversity; Water quality; Political science; Ecosystem; Sustainability; Business; Environmental resource management; Geography; Ecology; Environmental science; Psychology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04900519,0.0003412021,0.0006398442,0.0009263879,0.01179508,0.01356122,0.002353484,0.01032429,0.004070814],"category_scores_gemma":[0.04513638,0.0007660373,0.0007448792,0.001340852,0.02671258,0.009168215,0.01480016,0.01352327,0.0006498413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02756745,"about_ca_system_score_gemma":0.04149609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06998473,"about_ca_topic_score_gemma":0.07851376,"domain_scores_codex":[0.9609115,0.02212988,0.001461751,0.002431775,0.009222845,0.003842236],"domain_scores_gemma":[0.9799523,0.01318023,0.0009921181,0.001689551,0.002587076,0.001598762],"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":[0.00004272173,0.00002943873,0.001656389,0.00004832399,0.00001029387,0.0002384232,0.02260003,0.0005565347,0.0004531628,0.9383008,0.0257451,0.01031867],"study_design_scores_gemma":[0.00006090838,0.00007905181,0.006892451,0.0003839025,0.00002080807,0.0001152357,0.02541148,0.00263364,0.001237417,0.2856648,0.6773188,0.0001816097],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1556977,0.003872405,0.02052173,0.5475736,0.002128234,0.0002567707,0.0001550891,0.0002296981,0.2695648],"genre_scores_gemma":[0.8392389,0.0011712,0.007016959,0.08181634,0.0007187162,0.0004433298,0.0001276427,0.0001300248,0.06933688],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9300153,"threshold_uncertainty_score":0.2591673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02007983518564944,"score_gpt":0.3108633494580954,"score_spread":0.290783514272446,"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."}}