{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001089668,0.0000666807,0.0000853778,0.0001505985,0.0001443641,0.0002661327,0.0001237467,0.00009675309,0.00146044],"category_scores_gemma":[0.001445091,0.00004733701,0.00003187146,0.0002170661,0.00004400002,0.0001920624,0.00001997736,0.0001312273,0.0005233706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003164769,"about_ca_system_score_gemma":0.00001408647,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002791835,"about_ca_topic_score_gemma":0.0001439271,"domain_scores_codex":[0.9986111,0.00003230572,0.0002622945,0.0002587706,0.000741183,0.00009437102],"domain_scores_gemma":[0.9989133,0.0004424519,0.0001448031,0.000211366,0.0002292204,0.00005886781],"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":[0.00007498168,0.00004741297,0.004759471,8.333752e-7,0.000003257717,2.460473e-7,0.0004854547,0.0005360785,0.006875871,0.01317443,0.8275309,0.146511],"study_design_scores_gemma":[0.0004220279,0.00006369266,0.01340312,0.000001941714,0.000004238231,8.894257e-7,0.0001903166,0.01657285,0.0004093595,0.04439489,0.9244249,0.0001117233],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7946888,0.000001812332,0.002192354,0.0009748974,0.1418358,0.0001138314,0.00000506877,0.00005132841,0.06013617],"genre_scores_gemma":[0.7749921,0.000002971485,0.001123657,0.0001616834,0.2213667,0.000002116378,0.000004832289,0.000004607758,0.002341371],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1463993,"threshold_uncertainty_score":0.9994524,"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."}}