{"id":"W2613615362","doi":"","title":"Improved Technologies and Management Practices in Private Irrigation: Implications for Water Savings in Southern Alberta","year":2008,"lang":"en","type":"article","venue":"Proceedings of Water Down Under 2008","topic":"Water resources management and optimization","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Water conservation; Blueprint; Subsidy; Natural resource economics; Water supply; Water use; Irrigation; Water resources; Irrigation management; Water resource management; Environmental resource management; Environmental economics; Environmental planning; Environmental science; Economics; Environmental engineering; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001144987,0.0001485756,0.0001555107,0.0003117599,0.00005484201,0.00004526279,0.0001665586,0.00007828045,0.000004876921],"category_scores_gemma":[0.000008025224,0.0001078176,0.00002332417,0.0001372844,0.00005741506,0.0004033434,0.0001044349,0.00007446918,0.000004326271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004522088,"about_ca_system_score_gemma":0.000001084065,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000866946,"about_ca_topic_score_gemma":0.00005649677,"domain_scores_codex":[0.9991581,0.000001581324,0.0002888351,0.0002016977,0.00006539765,0.0002844142],"domain_scores_gemma":[0.9997867,0.00001068751,0.00006511351,0.00007968014,0.00003973419,0.00001809292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005937002,0.0007834511,0.3043593,0.008417606,0.0007558523,0.000006630204,0.09903315,0.03756281,0.5181465,0.01629442,0.00251243,0.0115341],"study_design_scores_gemma":[0.01102577,0.0004228037,0.06695082,0.0006994421,0.0002966844,0.00006687361,0.025077,0.08198547,0.7146502,0.07658783,0.01925809,0.002978979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942133,0.00005782592,0.0006308384,0.001618015,0.00001817626,0.00076598,0.000002144614,0.0001490902,0.002544635],"genre_scores_gemma":[0.9952399,0.0002036935,0.003247619,0.00001934123,0.00001101557,0.0002208063,0.00002077603,0.00002852281,0.001008287],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2374085,"threshold_uncertainty_score":0.4396676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01758823130000162,"score_gpt":0.2139820923564766,"score_spread":0.196393861056475,"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."}}