{"id":"W7145332667","doi":"","title":"カナダの1987年所得税改革の概要と評価及び効果","year":2015,"lang":"ja","type":"article","venue":"Institutional Repositories DataBase (IRDB)","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; Work (physics); Social security; Government (linguistics); Debt","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":[0.0007716457,0.0002743608,0.0001897094,0.002943455,0.0006828083,0.002050967,0.0004557521,0.0005297607,0.2297597],"category_scores_gemma":[0.002308523,0.0002942768,0.0001035559,0.003724523,0.0002902757,0.001180977,0.0004974633,0.0007637085,0.1833832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002546098,"about_ca_system_score_gemma":0.003042947,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05124806,"about_ca_topic_score_gemma":0.07566771,"domain_scores_codex":[0.9996556,0.00002245479,0.00002698548,0.00003948436,0.0002200361,0.00003548413],"domain_scores_gemma":[0.9983804,0.0001363269,0.0001030215,0.0001045123,0.001141393,0.0001342707],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0000894206,0.00003606337,0.002390375,0.0001072568,0.000003333019,0.00003836986,0.00008687704,0.000174266,0.0005598033,0.01161565,0.8239275,0.160971],"study_design_scores_gemma":[0.000006030509,0.000008224495,0.006525042,0.00007431088,0.000002699803,0.00002862842,0.00005949736,0.0001484217,0.0003674166,0.0009070617,0.9918675,0.000005277303],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01012254,0.002329225,0.005273444,0.003130341,0.001068628,0.0002647446,0.04686706,0.001109951,0.929834],"genre_scores_gemma":[0.02679784,0.003964726,0.005847071,0.0009766377,0.0002763709,0.0002269797,0.05332409,0.0006548144,0.9079315],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9487519,"threshold_uncertainty_score":0.7686228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02682237731343446,"score_gpt":0.2470430472515604,"score_spread":0.2202206699381259,"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."}}