{"id":"W4406189953","doi":"10.1080/1081602x.2024.2438171","title":"Did migration alter the path of the demographic transition for French Canadians in the United States?","year":2025,"lang":"en","type":"article","venue":"The History of the Family","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières; Concordia University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Child Health and Human Development; Minnesota Population Center, University of Minnesota; International Union for the Scientific Study of Population; Concordia University","keywords":"Transition (genetics); Path (computing); Demographic transition; Demography; Demographic economics; Demographic change; Economic geography; Political science; Geography; Sociology; Economics; Population; Genetics; Biology; Fertility; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001320398,0.0002090933,0.0002738835,0.00148588,0.003036743,0.00158634,0.0007452715,0.0006771081,0.002468454],"category_scores_gemma":[0.004044519,0.0001530709,0.0006281314,0.002191824,0.0009185584,0.0007065996,0.0008010158,0.0008088336,0.0001892661],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01529812,"about_ca_system_score_gemma":0.02461382,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9786834,"about_ca_topic_score_gemma":0.9885097,"domain_scores_codex":[0.9991295,0.0001069392,0.00002794883,0.000155616,0.00009960459,0.0004804285],"domain_scores_gemma":[0.9988012,0.000115264,0.0002649202,0.00006145758,0.0004758415,0.0002812865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000116897,0.00002312543,0.9774316,0.00002632809,0.00005564766,0.0001231937,0.003851291,0.0002626045,0.0002124208,0.001605492,0.002076911,0.01421452],"study_design_scores_gemma":[0.000003895751,0.00001445578,0.9915706,0.00004063695,0.00001766977,0.00003380798,0.004520892,0.0002281446,0.00003592741,0.0001127055,0.003404628,0.00001670292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858835,0.001663367,0.0001728999,0.005039672,0.00005497093,0.00002286591,0.002514187,0.0000135007,0.004634843],"genre_scores_gemma":[0.9968864,0.0007204752,0.0002149534,0.0004548945,0.00001922198,0.000009631603,0.0009399878,0.000005851666,0.0007484991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02131665,"threshold_uncertainty_score":0.1109961,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01946895491779901,"score_gpt":0.2375798014606867,"score_spread":0.2181108465428877,"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."}}