{"id":"W6999975421","doi":"","title":"Dolaylı vergilerin gelir dağılımı üzerindeki etkisi: Türkiye analizi","year":2019,"lang":"tr","type":"report","venue":"Pamukkale University Open Access Archive (Pamukkale University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Inequality; Quarter (Canadian coin); Economic analysis","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":[0.002374461,0.0005673947,0.0005418523,0.002245451,0.002796453,0.005821207,0.0007383156,0.001133419,0.02321593],"category_scores_gemma":[0.006001963,0.0003155807,0.0007831954,0.003783816,0.001946142,0.003791746,0.002295117,0.001830447,0.002770655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006066052,"about_ca_system_score_gemma":0.004564957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05667952,"about_ca_topic_score_gemma":0.06384986,"domain_scores_codex":[0.9978902,0.0006711094,0.0001267514,0.0002834305,0.0006419797,0.0003864449],"domain_scores_gemma":[0.9967789,0.001120847,0.0004497869,0.0001418612,0.001278447,0.0002302268],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008306691,0.0004203659,0.3945951,0.002417915,0.0004350419,0.004134343,0.1509026,0.004304524,0.003293744,0.1186343,0.04593987,0.2740915],"study_design_scores_gemma":[0.00003313747,0.0001988976,0.3905271,0.002197371,0.0002002354,0.0009054806,0.3536749,0.00249784,0.002244318,0.01803362,0.229311,0.0001760624],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7531142,0.009728855,0.006942373,0.01016105,0.0003729221,0.0002437582,0.00218253,0.00009277907,0.2171616],"genre_scores_gemma":[0.9593783,0.003092211,0.003178618,0.0005040833,0.00005000444,0.0001124705,0.001124859,0.00005781937,0.03250163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05667952,"threshold_uncertainty_score":0.1126992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1174156597269205,"score_gpt":0.3422887212340433,"score_spread":0.2248730615071228,"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."}}