{"id":"W3128914845","doi":"10.34196/ijm.00217","title":"Introducing CASCADEPOP: an open-source sociodemographic simulation platform for US health policy appraisal","year":2020,"lang":"en","type":"article","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mental Health Research Canada; Centre for Addiction and Mental Health","funders":"National Institute on Alcohol Abuse and Alcoholism; National Institutes of Health","keywords":"Microsimulation; Population; Census; American Community Survey; Marital status; Demography; Geography; Gerontology; Medicine; Environmental health; Engineering; Sociology; Transport engineering","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":[0.002346413,0.0009974298,0.0006398814,0.001094418,0.0003996849,0.0013658,0.002583992,0.001118715,0.04448738],"category_scores_gemma":[0.01028808,0.0007724716,0.001476738,0.0009158394,0.0003284784,0.001372378,0.002498953,0.001605096,0.00542301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001158214,"about_ca_system_score_gemma":0.002676009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01848831,"about_ca_topic_score_gemma":0.02148703,"domain_scores_codex":[0.9994159,0.0002212056,0.000063208,0.00009535127,0.0001450748,0.000059262],"domain_scores_gemma":[0.9973016,0.001893775,0.0001270275,0.0001820542,0.0003414922,0.000154171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005410236,0.0003230446,0.01204278,0.001172828,0.0003680875,0.0006367422,0.0004930344,0.7243168,0.001620854,0.04794602,0.1344675,0.07607135],"study_design_scores_gemma":[0.0003486918,0.00005379483,0.0008591342,0.0001269482,0.00005883253,0.00005188815,0.00007443195,0.8973665,0.0009456259,0.02407334,0.07598979,0.00005107512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.02989833,0.0005949258,0.7258139,0.002773738,0.0009899891,0.002005869,0.07490399,0.1053461,0.05767316],"genre_scores_gemma":[0.3073663,0.001708018,0.5827039,0.001753866,0.0002984755,0.006067629,0.06642458,0.01720226,0.01647498],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.04448738,"threshold_uncertainty_score":0.1488251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2251598643112658,"score_gpt":0.4744088224204656,"score_spread":0.2492489581091998,"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."}}