{"id":"W1662601996","doi":"10.17474/acuofd.83376","title":"ARTVİN İLİ ORMAN KÖYLERİNİN SOSYO-EKONOMİK ÖZELLİKLERİ","year":2008,"lang":"tr","type":"article","venue":"DergiPark (Istanbul University)","topic":"Agricultural and Rural Development Research","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Animal husbandry; Geography; Socioeconomics; Population; Agriculture; Rural population; Forestry; Agricultural economics; Economic growth; Sociology; Archaeology; Economics; Demography","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":[0.0007499244,0.0004623717,0.0003540071,0.0006160958,0.0008273535,0.003481751,0.0003942442,0.0006526597,0.01798008],"category_scores_gemma":[0.001249888,0.0001593729,0.0002568041,0.0006106223,0.0009367941,0.001655134,0.001769421,0.001073891,0.003152316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00210295,"about_ca_system_score_gemma":0.002534263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009658692,"about_ca_topic_score_gemma":0.01328038,"domain_scores_codex":[0.9996055,0.00007839753,0.00002807397,0.00008138196,0.0001390337,0.00006760959],"domain_scores_gemma":[0.9994953,0.000111786,0.00008563275,0.00003100286,0.0002020089,0.00007428502],"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":[0.001010772,0.0002415586,0.05563165,0.001129285,0.0001189087,0.002058684,0.008812048,0.007594378,0.01431116,0.3001287,0.0634832,0.5454797],"study_design_scores_gemma":[0.00005996001,0.0003407334,0.1294193,0.0008182317,0.00012543,0.001327669,0.01458868,0.0129938,0.01983505,0.05204928,0.7682649,0.0001769894],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3615128,0.01336428,0.0477995,0.02607857,0.002424184,0.000181134,0.001881428,0.0006831865,0.5460749],"genre_scores_gemma":[0.7589119,0.006053706,0.009071458,0.0006250537,0.0002028595,0.00007451762,0.0006923229,0.0001223078,0.2242458],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01798008,"threshold_uncertainty_score":0.06014931,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02923992299211409,"score_gpt":0.1799503971994232,"score_spread":0.1507104742073091,"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."}}