{"id":"W6997222766","doi":"","title":"Vergi yükünün istihdam üzerine etkisi","year":2011,"lang":"tr","type":"other","venue":"Marmara University Open Access System","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Turkish; Turkish economy; Tax reform; Bankruptcy; Quarter (Canadian coin); Unemployment","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":[0.001981159,0.0006764998,0.0008564077,0.001375373,0.001784517,0.004437238,0.0008681166,0.0008455722,0.02773042],"category_scores_gemma":[0.006246789,0.0004234209,0.001085965,0.002790564,0.001378257,0.00257078,0.002630186,0.001777444,0.002496768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004682956,"about_ca_system_score_gemma":0.006539727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07256843,"about_ca_topic_score_gemma":0.08280397,"domain_scores_codex":[0.9982634,0.0004270968,0.000124046,0.0003215805,0.0006041454,0.0002597266],"domain_scores_gemma":[0.9969349,0.0009689415,0.0005939883,0.0002220533,0.001042073,0.0002380443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001173075,0.0004346463,0.5453915,0.002961065,0.000755347,0.001773723,0.02474681,0.01804798,0.002374168,0.1123148,0.0416202,0.2484067],"study_design_scores_gemma":[0.00009267459,0.0004193438,0.6493114,0.001983873,0.0004437296,0.0004414601,0.05884222,0.01119957,0.00316464,0.03042172,0.2435024,0.0001769359],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7562131,0.00685854,0.01731189,0.007915315,0.0006117826,0.0003322549,0.007186921,0.0002350683,0.2033352],"genre_scores_gemma":[0.9515116,0.002885935,0.004388266,0.000362851,0.00008968781,0.0001953401,0.003315663,0.00009424496,0.03715636],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07256843,"threshold_uncertainty_score":0.1442921,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09357737284116914,"score_gpt":0.2831560969294449,"score_spread":0.1895787240882758,"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."}}