{"id":"W1511316068","doi":"10.34196/ijm.00048","title":"Editorial Special Issue on ‘Taxation and Microsimulation’","year":2010,"lang":"en","type":"article","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsimulation; Economics; Macroeconomics; Engineering; Transport engineering","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":[0.004970028,0.002654103,0.002209458,0.003212312,0.001891468,0.006587263,0.002496155,0.006574868,0.02664423],"category_scores_gemma":[0.0217541,0.0007576593,0.00290474,0.001503952,0.001563907,0.003553586,0.001491846,0.0085178,0.01054846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002534065,"about_ca_system_score_gemma":0.002339381,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001811363,"about_ca_topic_score_gemma":0.003363705,"domain_scores_codex":[0.996354,0.0006861993,0.0003982148,0.0005563353,0.001733515,0.0002717153],"domain_scores_gemma":[0.9791535,0.008516281,0.001196301,0.001091246,0.00829289,0.001749697],"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":[0.0000156983,0.000007552396,0.0000236425,0.00005810014,0.000009133303,0.00002743632,0.000005866088,0.00004607132,0.00003379449,0.0006030602,0.9963743,0.002795308],"study_design_scores_gemma":[0.00003961188,0.00003192471,0.0004082674,0.0001790813,0.00003330331,0.0001091681,0.00002809926,0.0005026868,0.0001600659,0.003663224,0.99483,0.00001456076],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00007023545,0.002423962,0.0004690815,0.03550172,0.9586253,0.00001520293,0.000123914,0.00007312893,0.00269745],"genre_scores_gemma":[0.0009300908,0.001864963,0.0001980391,0.008611251,0.9786124,0.00001757368,0.0000962487,0.00009699452,0.009572263],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02664423,"threshold_uncertainty_score":0.0891338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0446119237894908,"score_gpt":0.3632873141461508,"score_spread":0.31867539035666,"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."}}