{"id":"W7070906672","doi":"","title":"Placing Canadaâs Water Policies in an International Context","year":2017,"lang":"en","type":"other","venue":"UNU Collections (United Nations University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Water resources; Treaty; Scale (ratio); Comparative advantage; Developing country; Similarity (geometry); Selection (genetic algorithm)","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":[0.001721348,0.0005713557,0.0003692486,0.00327346,0.01054532,0.01551878,0.001790274,0.003980341,0.07377264],"category_scores_gemma":[0.005882112,0.0003789132,0.000700866,0.007829675,0.002839541,0.003505212,0.002728717,0.004729489,0.003484515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08497128,"about_ca_system_score_gemma":0.2261385,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9864188,"about_ca_topic_score_gemma":0.9942895,"domain_scores_codex":[0.9967011,0.000151691,0.00003865574,0.0001233456,0.001665313,0.001319986],"domain_scores_gemma":[0.9970255,0.0002395264,0.00008288838,0.000125426,0.001715066,0.0008116074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002132009,0.00003957145,0.001691582,0.00007242133,0.00001090802,0.0001192916,0.0007934309,0.0005475036,0.0001745438,0.2430604,0.7343726,0.01909636],"study_design_scores_gemma":[0.000005380916,0.000002804599,0.002615167,0.0001374189,0.000008569486,0.00001930758,0.001843781,0.0002354205,0.0002485036,0.007522854,0.9873402,0.00002061029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.006271039,0.001938852,0.0007372622,0.0477204,0.0008234141,0.00006768515,0.007992358,0.0002948836,0.9341542],"genre_scores_gemma":[0.1180627,0.005288106,0.003957586,0.01540312,0.0003789456,0.0001410674,0.004625662,0.001098411,0.8510444],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08497128,"threshold_uncertainty_score":0.6165127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02077169807816304,"score_gpt":0.2354370520085095,"score_spread":0.2146653539303464,"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."}}