{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002472605,0.0007799908,0.0007520152,0.0001726097,0.002554484,0.0002146684,0.001566019,0.0005547432,0.003963285],"category_scores_gemma":[0.00004306189,0.0003888028,0.0004847036,0.002430471,0.0008159148,0.0009507203,0.0008092706,0.0007813385,0.002143165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005286575,"about_ca_system_score_gemma":0.0001480952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008973787,"about_ca_topic_score_gemma":0.0007581608,"domain_scores_codex":[0.9954401,0.0002597205,0.0005722353,0.001236669,0.0008867001,0.00160454],"domain_scores_gemma":[0.9979323,0.0002139132,0.0003159567,0.0002365127,0.000433265,0.0008680914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003218557,0.003172988,0.1926493,0.0004155355,0.001633042,0.01037362,0.004852006,0.0001349831,0.0595269,0.0559595,0.6263394,0.04172415],"study_design_scores_gemma":[0.0006547828,0.0003648268,0.3386917,0.00006535753,0.00005536068,0.0001344466,0.002997621,0.00006486055,0.0006934175,0.00009139159,0.6552,0.0009861679],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9059736,0.0004622397,0.00001057279,0.003820914,0.0005973827,0.0005798422,0.0001498554,0.000248294,0.08815729],"genre_scores_gemma":[0.7801483,0.004523206,0.0001121139,0.0002083322,0.0005742634,0.000002735039,0.0002730045,0.000007450342,0.2141507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1460425,"threshold_uncertainty_score":0.9998564,"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."}}