{"id":"W1995470490","doi":"10.3138/cpp.39.supplement2.s11","title":"Economic Instruments, Innovation, and Efficient Water Use","year":2013,"lang":"fr","type":"article","venue":"Canadian Public Policy","topic":"Water resources management and optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University; University of Saskatchewan","funders":"","keywords":"Political science; Humanities; Forestry; Geography; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002957939,0.0002910502,0.0003726695,0.001888779,0.001323395,0.00403161,0.0007231747,0.000919537,0.005911786],"category_scores_gemma":[0.006404443,0.0002008835,0.0004992956,0.003014313,0.005328843,0.002577639,0.001592981,0.0008672609,0.0004068261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01325813,"about_ca_system_score_gemma":0.01276082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1598446,"about_ca_topic_score_gemma":0.2492311,"domain_scores_codex":[0.9978901,0.0004293892,0.00008867074,0.000302092,0.0008074237,0.0004824726],"domain_scores_gemma":[0.996123,0.001652843,0.0008402579,0.0003149501,0.0007969078,0.0002719964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001308326,0.0001659897,0.04604157,0.0006314144,0.0001353261,0.0001966265,0.002214606,0.02939671,0.004117105,0.7727768,0.002603751,0.1415893],"study_design_scores_gemma":[0.00008385762,0.0003231607,0.2327216,0.0006913947,0.0001912721,0.0001959785,0.006149797,0.02013172,0.008558646,0.5646642,0.166086,0.0002023783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5046145,0.0101106,0.05428653,0.01433022,0.0001624568,0.0002377203,0.0006864388,0.0001568082,0.4154147],"genre_scores_gemma":[0.9770808,0.003276891,0.004009606,0.0002063333,0.00003778509,0.00004158581,0.0000813481,0.00002010699,0.01524566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1598446,"threshold_uncertainty_score":0.3178285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01114080712674873,"score_gpt":0.1801595224118173,"score_spread":0.1690187152850686,"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."}}