{"id":"W1914146046","doi":"10.25336/p6d047","title":"A Microsimulation Model to Study the Interaction between Fertility and Union Formation and Dissolution: An Application to Canada and Quebec","year":2010,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada; Institut National de la Recherche Scientifique","funders":"","keywords":"Fertility; Microsimulation; Demographic economics; Demography; General Social Survey; Economics; Survey data collection; Quarter (Canadian coin); Geography; Sociology; Socioeconomics; Psychology; Population; Social psychology; Statistics; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001737289,0.0001202917,0.0001681827,0.0003157358,0.0004984781,0.0001509369,0.0001037309,0.00005342342,9.687631e-7],"category_scores_gemma":[0.0006413922,0.00009575931,0.000009290571,0.000494212,0.00003988377,0.0004730987,0.00005309698,0.0001282663,6.579044e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002436049,"about_ca_system_score_gemma":0.00006743017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9433915,"about_ca_topic_score_gemma":0.9997565,"domain_scores_codex":[0.9984894,0.0001588098,0.0004658816,0.0003902196,0.0003233062,0.0001723301],"domain_scores_gemma":[0.9989107,0.0002416861,0.0001108335,0.0002838138,0.0002315965,0.0002213663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003739977,0.00001404019,0.6872635,0.000006000803,0.00001015169,3.233714e-7,0.01116108,0.0155269,0.000159248,0.000267131,0.0000446995,0.2855096],"study_design_scores_gemma":[0.0001242905,0.00002938345,0.800783,0.000006284799,0.00001276048,8.997134e-7,0.006635262,0.1895067,0.000004041073,0.002709633,0.00009919098,0.00008851378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905716,0.00003264632,0.006866007,0.001561745,0.0001471412,0.0007774149,0.00002029652,0.0000114179,0.00001172521],"genre_scores_gemma":[0.9993466,0.000003829021,0.0002990328,0.0002013427,0.00002912582,0.00006407149,0.00003487463,0.000006431375,0.00001474743],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.285421,"threshold_uncertainty_score":0.3904951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1358717865562307,"score_gpt":0.4077384283069996,"score_spread":0.2718666417507689,"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."}}