{"id":"W2172128844","doi":"10.25336/p67k5x","title":"The Role of Microsimulation in Longitudinal Data Analysis","year":2001,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Microsimulation; Imputation (statistics); Econometrics; Longitudinal data; Computer science; Range (aeronautics); Missing data; Economics; Data mining; Transport engineering; Engineering; Machine learning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07589907,0.001538086,0.002054292,0.003229221,0.001355379,0.003086484,0.002953768,0.001941639,0.002895789],"category_scores_gemma":[0.2404284,0.001265524,0.002999598,0.004090171,0.004572989,0.005787823,0.005064336,0.004457651,0.0005253767],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002890208,"about_ca_system_score_gemma":0.00499657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01633964,"about_ca_topic_score_gemma":0.009494682,"domain_scores_codex":[0.9408783,0.04995615,0.002015703,0.003669516,0.00268254,0.0007979065],"domain_scores_gemma":[0.7648491,0.2043723,0.01034165,0.01498857,0.004615699,0.0008327129],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001404483,0.00008908804,0.02177319,0.0003940596,0.001169904,0.0002860783,0.001284679,0.3343253,0.0004568761,0.5454966,0.002316513,0.0922672],"study_design_scores_gemma":[0.00002560839,0.0001930579,0.002628486,0.0001713728,0.0001191203,0.000114477,0.0002744603,0.6606204,0.0008436574,0.3287981,0.006116158,0.00009513893],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004748079,0.0004266238,0.9930845,0.0007070046,0.00007559902,0.00008855144,0.0001312047,0.000152931,0.0005854481],"genre_scores_gemma":[0.2809664,0.001969524,0.7117065,0.0006156571,0.000427598,0.001641818,0.0006392591,0.0002701865,0.001763078],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07589907,"threshold_uncertainty_score":0.4013975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.320375833259936,"score_gpt":0.4642547693894598,"score_spread":0.1438789361295237,"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."}}