{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000685186,0.0000958389,0.0002230143,0.0004898188,0.000181771,0.000008973193,0.0001498126,0.00003577747,0.00001149117],"category_scores_gemma":[0.0001809854,0.0001088517,0.00003118615,0.0008918265,0.0001723622,0.0001337037,0.00002140379,0.00007933821,7.456619e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001159481,"about_ca_system_score_gemma":0.0002574607,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9998456,"about_ca_topic_score_gemma":0.9999987,"domain_scores_codex":[0.998633,0.000208134,0.0002987247,0.000178733,0.0002839038,0.0003974643],"domain_scores_gemma":[0.9995165,0.00005942538,0.0001005149,0.0001504332,0.00007099716,0.0001021409],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000001553039,0.000004072597,0.9596623,0.00002426203,0.0000130804,0.000004398346,0.004193162,0.00005470301,7.260176e-8,0.02902135,0.0001736769,0.0068474],"study_design_scores_gemma":[0.0001624885,0.000005199705,0.9864437,0.00005209063,0.000007000514,4.795805e-8,0.005990354,0.00005885107,4.631375e-7,0.002604812,0.00456463,0.0001103613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905068,0.001182525,9.01937e-7,0.0006071823,0.0009610259,0.0003794582,0.0000127416,0.00000879655,0.00634054],"genre_scores_gemma":[0.9989853,0.0004726337,0.00004212698,0.0003169765,0.0001082942,0.00004517936,0.000009247481,0.000006945651,0.00001329867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02678144,"threshold_uncertainty_score":0.4438845,"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."}}