{"id":"W1991343442","doi":"10.1177/0894439310370085","title":"What is Social Science Microsimulation?","year":2010,"lang":"en","type":"article","venue":"Social Science Computer Review","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Microsimulation; Toolbox; Context (archaeology); Computer science; Mainstream; Management science; Environmental economics; Data science; Economics; Engineering; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005385179,0.0008415538,0.001424816,0.001768027,0.0008764642,0.002534364,0.001657695,0.001839211,0.004251263],"category_scores_gemma":[0.02637014,0.0004193282,0.001427444,0.001738836,0.003858656,0.006493626,0.002554806,0.001706784,0.0009302411],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002228036,"about_ca_system_score_gemma":0.00275292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003976817,"about_ca_topic_score_gemma":0.001536563,"domain_scores_codex":[0.9974684,0.001501225,0.0001029247,0.0003147073,0.0004436086,0.0001691471],"domain_scores_gemma":[0.9869421,0.009658381,0.0009057928,0.001047998,0.001095099,0.0003506609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000242424,0.00003653319,0.001675041,0.0003836615,0.0001519631,0.00006685847,0.0002867524,0.05158603,0.0001717152,0.9031608,0.003581949,0.03887455],"study_design_scores_gemma":[0.00001154278,0.00003357836,0.0003710152,0.0001458321,0.00002552278,0.00004746456,0.0001834898,0.0483175,0.0002300508,0.9310446,0.01956359,0.00002570555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04020641,0.0262754,0.8292277,0.05174379,0.002308727,0.0001793251,0.0004948242,0.0004738602,0.04908995],"genre_scores_gemma":[0.8453239,0.03550224,0.100733,0.004425207,0.00296178,0.0009544933,0.0003887722,0.0003023127,0.009408297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005385179,"threshold_uncertainty_score":0.02847987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1164705315189165,"score_gpt":0.4564979384053096,"score_spread":0.340027406886393,"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."}}