{"id":"W1606820908","doi":"","title":"Projections of the Population and Labour Force to 2046: The Provinces and Territories","year":2000,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Projections of population growth; Population; Geography; Population projection; Regional science; Economic geography; Demographic economics; Political science; Economics; Demography; Population growth; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005946984,0.0007060573,0.0003592256,0.001892069,0.001086833,0.001098904,0.0008245498,0.0005137405,0.007876647],"category_scores_gemma":[0.001887453,0.000295723,0.0009171819,0.003293684,0.0002687353,0.0006820494,0.0008421415,0.0009705025,0.001535114],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01081453,"about_ca_system_score_gemma":0.01863612,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9389271,"about_ca_topic_score_gemma":0.9179733,"domain_scores_codex":[0.9993978,0.00006107039,0.00001755921,0.00004259458,0.0003224538,0.0001584978],"domain_scores_gemma":[0.9989964,0.00003662866,0.0000440691,0.00003347539,0.0007895158,0.00009979935],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009206473,0.0001131974,0.0765329,0.0007463575,0.0003800163,0.0008691383,0.001173325,0.3251764,0.001789712,0.03892894,0.3282814,0.225088],"study_design_scores_gemma":[0.0002313274,0.0001317788,0.15892,0.0006309172,0.0002058956,0.0006409743,0.003210632,0.1482392,0.003485675,0.02204909,0.661938,0.0003165005],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3391569,0.006530543,0.03419455,0.0123769,0.0008185251,0.0004161252,0.4856037,0.001561158,0.1193416],"genre_scores_gemma":[0.7209733,0.01149888,0.0488363,0.0004975901,0.000112836,0.0005626681,0.1733158,0.0002817918,0.04392083],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9891855,"threshold_uncertainty_score":0.1228652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07608339192562795,"score_gpt":0.3833126788047352,"score_spread":0.3072292868791072,"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."}}