{"id":"W2574364390","doi":"","title":"A critical analysis of empirical tests on net income and comprehensive income in Japan","year":2010,"lang":"en","type":"article","venue":"Accounting","topic":"Income, Poverty, and Inequality","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Economics; Econometrics; Net income; Net national income; Public economics; Gross income","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001045806,0.0001083965,0.000372988,0.0003306644,0.0002274274,0.00008245772,0.0002033393,0.0001589289,0.0001173888],"category_scores_gemma":[0.002456602,0.0001014909,0.00007902303,0.001074007,0.0004226392,0.0002930242,0.0001001438,0.0003522161,0.000008528463],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004069503,"about_ca_system_score_gemma":0.00006722662,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.007649024,"about_ca_topic_score_gemma":0.01797584,"domain_scores_codex":[0.998498,0.0001681653,0.0003662416,0.000248175,0.0003912477,0.0003282262],"domain_scores_gemma":[0.9978547,0.001561242,0.0001017022,0.0001987113,0.000198779,0.00008491829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009615355,0.00005864669,0.9815533,0.00001627445,0.000028224,0.000002698491,0.003906233,0.000004116088,0.0003241042,0.01332159,0.00001864629,0.0007566161],"study_design_scores_gemma":[0.0001534274,0.00002890175,0.9948837,0.00002152846,0.00005818711,3.773159e-7,0.001539827,0.0007657608,0.00002280862,0.001589835,0.0008125609,0.0001231322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919325,0.00001865309,0.00000587793,0.0006834063,0.0002113845,0.00008206124,0.000008635337,0.00002514589,0.007032349],"genre_scores_gemma":[0.9989867,0.000006368839,0.0002111867,0.0005971636,0.000167525,0.000003709368,0.000003092458,0.000006596086,0.00001769243],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01333041,"threshold_uncertainty_score":0.9999436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056855342959448,"score_gpt":0.3880866783950335,"score_spread":0.347518124965439,"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."}}