{"id":"W7164701936","doi":"","title":"Implementing Alberta&apos;s water for life strategy: An irrigation industry perspective","year":2008,"lang":"en","type":"article","venue":"ANU Open Research (Australian National University)","topic":"Water resources management and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Irrigation; Productivity; Perspective (graphical); Water sector; Water industry; Water conservation; Work (physics); Water utility","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":[0.002077084,0.0002296326,0.0001486172,0.000598452,0.00417756,0.007303293,0.001106575,0.002006151,0.003820671],"category_scores_gemma":[0.001871235,0.0001518758,0.0001596846,0.001088272,0.00211991,0.001127186,0.001024647,0.001362596,0.0002220678],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03294853,"about_ca_system_score_gemma":0.08323547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8245812,"about_ca_topic_score_gemma":0.9418998,"domain_scores_codex":[0.996979,0.0007348987,0.0000310256,0.00009473963,0.0008824361,0.001277938],"domain_scores_gemma":[0.9983627,0.00032689,0.0000671908,0.00002744803,0.0006811933,0.0005345152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002661561,0.0009058131,0.1317312,0.0008066266,0.0001074458,0.003979871,0.05561219,0.01562487,0.01420191,0.3681064,0.1608688,0.2477888],"study_design_scores_gemma":[0.00006459243,0.0005097035,0.1086082,0.0004242247,0.00007584648,0.000333237,0.25454,0.008185778,0.004672107,0.02176335,0.6006495,0.0001733997],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4086336,0.004144776,0.003157725,0.1021968,0.0001597644,0.0002006877,0.000257819,0.0000878693,0.481161],"genre_scores_gemma":[0.9397628,0.00296937,0.002712493,0.007839052,0.00003121688,0.0000313329,0.0001155995,0.00001216869,0.04652599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1754188,"threshold_uncertainty_score":0.3529037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2266663423159306,"score_gpt":0.3785598494176037,"score_spread":0.1518935071016731,"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."}}