{"id":"W3009070368","doi":"","title":"Selecting strategic policy for irrigation water management (Case study: Qazvin Plain, Iran).","year":2020,"lang":"en","type":"article","venue":"Journal of Agricultural Science and Technology","topic":"Water resources management and optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Irrigation; Irrigation management; Water resource management; Business; Agriculture; Water conservation; Irrigated agriculture; Environmental science; Environmental planning; Environmental resource management; Agricultural economics; Geography; Economics; Agronomy; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000211608,0.0000785789,0.0001069503,0.0002489396,0.0001643655,0.0001012564,0.0001618945,0.00003267329,0.000001823517],"category_scores_gemma":[0.0000135057,0.00004276454,0.00001738653,0.0008135795,0.00004989257,0.0003081623,0.00005185574,0.00009235129,0.000001108515],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000487818,"about_ca_system_score_gemma":0.000004706512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003132357,"about_ca_topic_score_gemma":0.000005626487,"domain_scores_codex":[0.9993528,0.000004936456,0.0002002015,0.0001017881,0.0001524807,0.0001877819],"domain_scores_gemma":[0.9997203,0.000004391391,0.0000548917,0.00003467146,0.0001341826,0.00005161194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001417723,0.0004839384,0.007455129,0.00109247,0.001024555,0.002270121,0.03389924,0.307677,0.47921,0.02484858,0.003778629,0.1381186],"study_design_scores_gemma":[0.01475607,0.01230824,0.01680744,0.0002984387,0.001107649,0.01010663,0.44008,0.218967,0.2502597,0.02236633,0.009982967,0.002959592],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960602,0.00002535101,0.0005859917,0.002456044,0.00005161963,0.0002544031,2.755938e-7,0.00007009172,0.0004960088],"genre_scores_gemma":[0.9987685,0.00001182422,0.001062658,0.00003313267,0.00009853715,0.000005038927,6.609209e-7,0.000003641064,0.00001601944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4061808,"threshold_uncertainty_score":0.1743887,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737318524390211,"score_gpt":0.2234602970423436,"score_spread":0.2060871117984415,"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."}}