{"id":"W2802500217","doi":"","title":"The Feasibility of Using Wind Energy in Ilam","year":2016,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental science; Wind power; Energy (signal processing); Meteorology; Computer science; Statistics; Mathematics; Engineering; Geography; Electrical engineering","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":[0.00134135,0.0003402838,0.0001779342,0.0005868563,0.001501435,0.003663148,0.0007862276,0.0008014067,0.03838956],"category_scores_gemma":[0.002573463,0.0002076509,0.0003175203,0.0008004862,0.0006327815,0.002788367,0.002055954,0.001158658,0.004906106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009930374,"about_ca_system_score_gemma":0.001078818,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002857895,"about_ca_topic_score_gemma":0.01101186,"domain_scores_codex":[0.9994221,0.0001669834,0.00002987998,0.00008999383,0.0001902067,0.0001009611],"domain_scores_gemma":[0.9990132,0.0003108987,0.00007355127,0.0001703688,0.0003172641,0.0001147123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001193162,0.0005627982,0.05286059,0.0008374449,0.00008569042,0.00118966,0.001934729,0.005176803,0.01163036,0.08911231,0.03349427,0.8019222],"study_design_scores_gemma":[0.0002985709,0.0009168145,0.03167011,0.001873131,0.0001308509,0.0005918614,0.005376417,0.01143347,0.01065082,0.02489706,0.912078,0.00008290011],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1133614,0.003889773,0.01192691,0.008166848,0.001526515,0.0002993195,0.0006848515,0.0004018746,0.8597426],"genre_scores_gemma":[0.8784667,0.003140899,0.01960454,0.002286152,0.0004327041,0.0003000688,0.0007613221,0.0001209596,0.09488672],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03838956,"threshold_uncertainty_score":0.1284259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2705398448960447,"score_gpt":0.514042118254508,"score_spread":0.2435022733584633,"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."}}