{"id":"W3043201931","doi":"10.22034/gp.2020.10790","title":"ارزیابی اثرتغییر اقلیم بر بارش در مناطق فاقد آمار مشاهداتی با استفاده از بسته نرمافزاری CCT مطالعه موردی: حوضه دریان","year":2020,"lang":"fa","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cru; GCM transcription factors; Environmental science; Geography; General Circulation Model; Climate change; Meteorology; Biology; Precipitation; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001535819,0.0004209099,0.0002612738,0.001143567,0.00142974,0.003918638,0.0004717766,0.0006775471,0.06606178],"category_scores_gemma":[0.003619975,0.0003131104,0.0002990764,0.002435117,0.001525508,0.001588926,0.001080103,0.001521608,0.03541599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002498907,"about_ca_system_score_gemma":0.004286492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008522997,"about_ca_topic_score_gemma":0.007912384,"domain_scores_codex":[0.9982905,0.0002408916,0.0001362683,0.0002381948,0.0009545499,0.0001396113],"domain_scores_gemma":[0.9978573,0.0004028142,0.0003833277,0.0001610099,0.001065084,0.0001305192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005230815,0.000296532,0.01105785,0.001741141,0.0000421464,0.003425887,0.01725609,0.001422906,0.03527718,0.1332191,0.07046724,0.7252707],"study_design_scores_gemma":[0.00002680447,0.0001094612,0.02820598,0.0007928525,0.00002336305,0.001749969,0.01510191,0.0007986032,0.01582578,0.01890165,0.9183847,0.00007908608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1424492,0.008144702,0.07151778,0.00973894,0.00310053,0.0007388392,0.003512328,0.0007851282,0.7600126],"genre_scores_gemma":[0.4753064,0.01761531,0.07088611,0.001586134,0.000725041,0.001245824,0.003263004,0.0008243904,0.4285478],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06606178,"threshold_uncertainty_score":0.2209986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2333605950236673,"score_gpt":0.523603966418382,"score_spread":0.2902433713947147,"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."}}