{"id":"W2735404575","doi":"10.25336/p6ns4b","title":"Two centuries of demographic change in Canada","year":2014,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Population momentum; Fertility; Vital rates; Demographic transition; Demographic change; Population; Demography; Age structure; Population growth; Momentum (technical analysis); Total fertility rate; Population size; Mortality rate; Geography; Birth rate; Economics; Research methodology; Sociology; Family planning","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009559331,0.0001915051,0.0004154765,0.003929877,0.006619402,0.002487767,0.0008000634,0.0005052272,0.002390418],"category_scores_gemma":[0.004166153,0.0002396855,0.0003564772,0.007674016,0.001261083,0.0009543133,0.001656047,0.00107221,0.0001130965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08243524,"about_ca_system_score_gemma":0.07598188,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9977513,"about_ca_topic_score_gemma":0.9991773,"domain_scores_codex":[0.999181,0.00005352107,0.00003366594,0.00009938228,0.0003241615,0.0003082414],"domain_scores_gemma":[0.997079,0.000320846,0.0002706245,0.00009692032,0.001746839,0.0004858658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002546797,0.00007936828,0.7395731,0.0004153429,0.0002268874,0.000872886,0.07766563,0.001929952,0.000822149,0.02841187,0.02242696,0.1273212],"study_design_scores_gemma":[0.000005182441,0.00001499948,0.9412466,0.0001460873,0.00003382207,0.0001036376,0.0120714,0.0008287982,0.000156759,0.0004360027,0.04491524,0.00004148847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9582939,0.005832771,0.0005452125,0.002691147,0.0001012146,0.00006620015,0.006981459,0.00003420011,0.0254538],"genre_scores_gemma":[0.9853139,0.002708907,0.0007507282,0.0002895501,0.00001823718,0.00002705515,0.002054899,0.00001428552,0.008822475],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08243524,"threshold_uncertainty_score":0.5981123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05194958158475774,"score_gpt":0.3381806383701832,"score_spread":0.2862310567854255,"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."}}