{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005035038,0.00009572112,0.0001380308,0.0004087526,0.001732304,0.001465327,0.0005061279,0.000358369,0.001670134],"category_scores_gemma":[0.001567119,0.0001062319,0.0001098699,0.001374234,0.001076132,0.000526238,0.0007989226,0.0003333318,0.00006673236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01711925,"about_ca_system_score_gemma":0.01662512,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8871143,"about_ca_topic_score_gemma":0.9672395,"domain_scores_codex":[0.9993567,0.0001026916,0.00001455009,0.00005424652,0.0002250758,0.0002467553],"domain_scores_gemma":[0.9990607,0.000216589,0.0001984788,0.00004249219,0.0002500167,0.0002316697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004147947,0.0004925457,0.7695658,0.0002553299,0.0000491485,0.001637178,0.02124649,0.007362994,0.01016105,0.01172226,0.004378238,0.1727142],"study_design_scores_gemma":[0.00001848755,0.00009597809,0.9548502,0.00006141725,0.0000155339,0.0001179658,0.02650747,0.002679159,0.0005088788,0.001370486,0.01375071,0.00002367164],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921281,0.0002137865,0.0001462361,0.0009763273,0.000003778707,0.00001231352,0.00006437235,0.000007177936,0.006447935],"genre_scores_gemma":[0.9953969,0.0003335588,0.0002245845,0.00008817616,0.000002459341,0.000005128382,0.00006304419,0.000002124244,0.003884044],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1128857,"threshold_uncertainty_score":0.2271008,"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."}}