{"id":"W2465469067","doi":"10.25336/p6gg6f","title":"Comparative Demography of Canada and Australia","year":2016,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Demography; Geography; Historical demography; Population; Sociology; Research methodology","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":[0.0009166725,0.0002379865,0.0004130215,0.004046494,0.004537473,0.001911106,0.0009352998,0.0003535593,0.004077842],"category_scores_gemma":[0.002987544,0.0002009622,0.0004081135,0.01150258,0.001047531,0.0007008757,0.001231789,0.0006921366,0.0002302076],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04414653,"about_ca_system_score_gemma":0.04080533,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9980047,"about_ca_topic_score_gemma":0.9992321,"domain_scores_codex":[0.999338,0.0001111696,0.00002873721,0.00008514334,0.0001669063,0.0002700833],"domain_scores_gemma":[0.9978881,0.0001922331,0.0001844784,0.00006006088,0.001181359,0.0004936822],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006955891,0.0001483696,0.6955723,0.0004914969,0.0003331692,0.0009143407,0.05135765,0.003889724,0.001186497,0.03217998,0.02275464,0.1904761],"study_design_scores_gemma":[0.000007496782,0.00001953491,0.9689118,0.0001022754,0.00002937145,0.0001309485,0.01047158,0.0006894557,0.00005818326,0.0004256985,0.01912724,0.00002642302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9706363,0.005705279,0.0003419416,0.001748526,0.0000419324,0.00003678502,0.003731137,0.00002298034,0.01773516],"genre_scores_gemma":[0.9919719,0.00211319,0.0004967789,0.0001351371,0.000008760152,0.00001722083,0.001092508,0.00001149853,0.004153041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04414653,"threshold_uncertainty_score":0.320307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3159348366665526,"score_gpt":0.4335212768085302,"score_spread":0.1175864401419776,"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."}}