{"id":"W2185560772","doi":"","title":"USE OF TAX DATA: AN APPLICATION OF GOODS AND SERVICES TAX (GST) DATA","year":2003,"lang":"en","type":"article","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Imputation (statistics); Certification; Missing data; Computer science; Data collection; Goods and services; Database; Data science; Business; Economics; Statistics","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":[],"consensus_categories":[],"category_scores_codex":[0.002581965,0.00007383367,0.000178714,0.0001250697,0.00004732211,0.0001167668,0.00101596,0.00005034256,0.00003964718],"category_scores_gemma":[0.0003426519,0.00005327329,0.00001322365,0.0004854828,0.00007216411,0.001318716,0.0002342173,0.00003741139,0.000005541259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001551859,"about_ca_system_score_gemma":0.00002412103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001320625,"about_ca_topic_score_gemma":0.001508804,"domain_scores_codex":[0.9981272,0.0001228944,0.0005287824,0.0005336603,0.0005954162,0.00009201199],"domain_scores_gemma":[0.9964724,0.0003404543,0.0003170322,0.002620566,0.0001903164,0.00005920681],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001330767,0.0009230606,0.3135658,0.0002025319,0.000114951,0.000001296621,0.001721672,0.003074677,0.03285462,0.1064777,0.00911971,0.5318109],"study_design_scores_gemma":[0.0003656354,0.00009234325,0.02402125,0.000019304,0.00005731954,0.000005012643,0.003580331,0.9066118,0.000910136,0.01609316,0.0480487,0.0001950028],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8565332,0.0001404046,0.1411751,0.0001129681,0.00006053735,0.000164808,0.0006379973,0.00001719564,0.001157774],"genre_scores_gemma":[0.9723764,0.00008895629,0.02701006,0.00006781771,0.000008314911,0.000001913262,0.0002659393,0.000004969972,0.000175606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9035372,"threshold_uncertainty_score":0.2172422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3377820052115862,"score_gpt":0.4234950074182489,"score_spread":0.08571300220666261,"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."}}