{"id":"W4410994506","doi":"10.2139/ssrn.5280482","title":"Crop Growth and Water Use Responses to Irrigation Strategies in an Arid Seasonally Frozen Region: Based on Whole Agricultural-Year Modeling","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Arid; Irrigation; Agriculture; Environmental science; Crop; Water resource management; Irrigated agriculture; Agricultural engineering; Agroforestry; Agricultural economics; Geography; Agronomy; Economics; Engineering; Forestry; Ecology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004174584,0.0003208343,0.0004696012,0.0002871912,0.0002765898,0.0004939799,0.0009602331,0.0006019409,0.001295701],"category_scores_gemma":[0.0009136599,0.0002974966,0.001049551,0.000567047,0.0003563765,0.0005091745,0.0002099812,0.0003652817,0.0001770847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001039006,"about_ca_system_score_gemma":0.000698694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1407701,"about_ca_topic_score_gemma":0.07456619,"domain_scores_codex":[0.9999171,0.00002716036,0.000003862856,0.00002969692,0.000004298094,0.00001785189],"domain_scores_gemma":[0.9993773,0.0004122054,0.00004904723,0.00005777903,0.00005321864,0.00005039601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002097879,0.00009181376,0.03574712,0.00001838078,0.0001038001,0.00005273964,0.00005625812,0.9600416,0.001357784,0.0003017382,0.0002886505,0.001730372],"study_design_scores_gemma":[0.00002725167,0.00003852745,0.03828461,0.000002953358,0.00005591434,0.00001901116,0.00006443077,0.9606477,0.0004414206,0.000229204,0.0001700365,0.00001897351],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985487,0.00001917897,0.0005792544,0.00002026829,0.000001939741,0.000002231455,0.0004976395,0.0000227413,0.0003081042],"genre_scores_gemma":[0.9986386,0.00002169695,0.000499961,0.000006455714,0.000001869152,0.000005442575,0.0006213526,0.00001508272,0.0001894922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1407701,"threshold_uncertainty_score":0.2799014,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03723114224230587,"score_gpt":0.2540136475120219,"score_spread":0.2167825052697161,"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."}}