{"id":"W6987719711","doi":"","title":"Tuloverotuksen vaikutusten arviointi verotettavan tulon jouston menetelmällä : Suomen tuloverotuksen haasteet väestön ikääntyessä","year":2019,"lang":"fi","type":"other","venue":"UTUPub (University of Turku)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Taxable income; Panel data; Quarter (Canadian coin)","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.002040074,0.004122993,0.006132255,0.004463892,0.001016128,0.0004340748,0.00709645,0.004479891,0.04322987],"category_scores_gemma":[0.0002899527,0.005457342,0.002978348,0.003107915,0.002409101,0.001871156,0.004215661,0.003686036,0.0947164],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00444899,"about_ca_system_score_gemma":0.001795558,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01740278,"about_ca_topic_score_gemma":0.007160361,"domain_scores_codex":[0.9822221,0.001853202,0.001928347,0.005034287,0.004613138,0.004348903],"domain_scores_gemma":[0.9839702,0.0006848665,0.005692394,0.006523924,0.001186342,0.001942267],"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":[0.004336277,0.00228872,0.006829822,0.005496169,0.009422617,0.001642635,0.01157532,0.002134082,0.0156192,0.00333879,0.9246467,0.01266963],"study_design_scores_gemma":[0.01256521,0.001735007,0.005942999,0.003902593,0.003708539,0.0001854083,0.0127249,0.003459284,0.0007585794,0.0001763489,0.9489679,0.005873189],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07935475,0.003661251,0.0003652394,0.001648654,0.005753528,0.009179507,0.01076641,0.001510405,0.8877603],"genre_scores_gemma":[0.09794135,0.00133333,0.004029216,0.0002568704,0.001411763,0.000006467009,0.001841781,0.00313003,0.8900492],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.05148653,"threshold_uncertainty_score":0.9993728,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009933689944861712,"score_gpt":0.1854253630274569,"score_spread":0.1754916730825952,"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."}}