{"id":"W2800474274","doi":"10.25336/csp29372","title":"Implications of World Peak Population for Canada","year":2018,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; University of Victoria","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Population; World population; Geography; Political science; Development economics; Regional science; Demography; Economics; Sociology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003641038,0.0001098261,0.0002742411,0.0003041842,0.0006397158,0.000001694816,0.000108025,0.00008144693,0.00005446494],"category_scores_gemma":[0.0007138031,0.0001175001,0.00002446837,0.0005545219,0.00005259115,0.00007501856,0.00002560982,0.0001192095,0.00001023638],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003894162,"about_ca_system_score_gemma":0.0009437481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948947,"about_ca_topic_score_gemma":0.9999799,"domain_scores_codex":[0.9983692,0.000115284,0.0006686723,0.0002148093,0.0001267922,0.0005052086],"domain_scores_gemma":[0.9983863,0.0003162462,0.0002398466,0.0002634337,0.0006147875,0.0001793869],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001371628,0.000003707338,0.8873754,0.0002001101,0.00001370895,3.645269e-7,0.001057045,0.00001591898,0.000002248577,0.0189817,0.09088736,0.00144873],"study_design_scores_gemma":[0.0002354154,0.00002354151,0.9511783,0.0001890333,0.00001124057,2.056045e-7,0.001591829,0.00005853806,0.000001568903,0.004960019,0.04165465,0.00009571874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.974416,0.0009132872,0.00002789016,0.006177035,0.003833126,0.002446651,0.0004985169,0.00003936137,0.01164817],"genre_scores_gemma":[0.9968673,0.00001390063,0.0004308254,0.00118099,0.0004143872,0.0002143198,0.0002433368,0.00001704795,0.0006179088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06380285,"threshold_uncertainty_score":0.9999297,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1567981462008873,"score_gpt":0.5131692840209419,"score_spread":0.3563711378200545,"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."}}