{"id":"W3009692694","doi":"10.3390/agriculture10030060","title":"Modelling Climate Change Impact on Irrigation Water Requirement and Yield of Winter Wheat (Triticum aestivum L.), Barley (Hordeum vulgare L.), and Fodder Maize (Zea mays L.) in the Semi-Arid Qazvin Plateau, Iran","year":2020,"lang":"en","type":"article","venue":"Agriculture","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Agronomy; Fodder; Irrigation; Environmental science; Hordeum vulgare; Arid; Precipitation; Climate change; Yield (engineering); Poaceae; Cultivar; Drought tolerance; Biology; Geography; Ecology","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":[0.0001592652,0.000194014,0.0001734767,0.00002751562,0.0000892229,0.00004541043,0.0001207547,0.0001197646,0.00007585526],"category_scores_gemma":[0.000004276343,0.00009266251,0.00004616711,0.0001358461,0.00005231303,0.0002571653,0.0001060997,0.0002201959,0.0000120734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004649463,"about_ca_system_score_gemma":0.000001235187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000412238,"about_ca_topic_score_gemma":0.0001647806,"domain_scores_codex":[0.9989267,0.00004982174,0.0002181082,0.0002927784,0.0002376528,0.000274919],"domain_scores_gemma":[0.9997163,0.00002949219,0.00005033085,0.000114399,0.000007861814,0.00008161913],"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":[0.0006424391,0.0005888348,0.2873821,0.0003703303,0.0001553018,0.0002261297,0.08106065,0.4440059,0.1742962,0.0009293618,0.006588102,0.003754684],"study_design_scores_gemma":[0.002426102,0.001459832,0.3476386,0.0008356406,0.0002401638,0.000229222,0.003233301,0.6312044,0.00796501,0.001554459,0.00175753,0.001455694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948094,0.00008541124,0.0001709172,0.003307881,0.00003212013,0.0003260453,0.00007515759,0.00001668841,0.001176329],"genre_scores_gemma":[0.9990638,0.000154174,0.00006685191,0.0005130746,0.00004437239,0.00002321064,0.00009289068,0.00000882446,0.00003273528],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1871986,"threshold_uncertainty_score":0.3778668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02432239599192264,"score_gpt":0.2133942607170162,"score_spread":0.1890718647250935,"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."}}