{"id":"W2164238325","doi":"","title":"Thoughts from a user of results of Statistics Canada's LifePaths Microsimulation Model","year":2012,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toolbox; Microsimulation; Population; Cluster (spacecraft); Narrative; Computer science; Econometrics; Operations research; Statistics; Geography; Regional science; Sociology; Demography; Economics; Mathematics; Engineering; Linguistics","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":[0.02205699,0.001276598,0.001228399,0.002687574,0.003899986,0.006749185,0.003583975,0.003665528,0.02415526],"category_scores_gemma":[0.1033941,0.0006613413,0.00166056,0.003756796,0.005029812,0.007701377,0.003318396,0.007208962,0.004302821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02002085,"about_ca_system_score_gemma":0.01263586,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6056419,"about_ca_topic_score_gemma":0.490208,"domain_scores_codex":[0.9875629,0.005802515,0.0004793124,0.0010635,0.004449263,0.0006425488],"domain_scores_gemma":[0.9375228,0.03391777,0.0007834437,0.00445453,0.02095344,0.002368019],"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":[0.0001011195,0.00005852139,0.002625955,0.0001112268,0.0000408588,0.0004263315,0.003130553,0.006358316,0.0001671333,0.1850688,0.7777337,0.02417754],"study_design_scores_gemma":[0.00004974158,0.00003816592,0.001476562,0.0005865732,0.0000431993,0.0002987753,0.003142142,0.02180508,0.0007863697,0.1361085,0.8353259,0.0003392002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01357214,0.01092466,0.112076,0.734445,0.009240921,0.000108166,0.008417746,0.002988195,0.1082271],"genre_scores_gemma":[0.3686835,0.01988865,0.2256842,0.1702005,0.01163503,0.0005004168,0.006996573,0.009937721,0.1864734],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3943581,"threshold_uncertainty_score":0.7933611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.112825176602626,"score_gpt":0.3826862628665214,"score_spread":0.2698610862638953,"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."}}