{"id":"W1868824658","doi":"10.25336/p60034","title":"Population Aging and the Generational Economy: A Global Perspective","year":2014,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Perspective (graphical); Population ageing; Population; Economics; Economic geography; Sociology; Demography; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0008771201,0.0005874881,0.0005185451,0.004283857,0.003402475,0.005316543,0.000731349,0.001059125,0.006442746],"category_scores_gemma":[0.001257884,0.0001480679,0.0005077745,0.01023123,0.004388651,0.002627999,0.001848624,0.001765894,0.0001818422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02714347,"about_ca_system_score_gemma":0.04260418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.9498007,"about_ca_topic_score_gemma":0.9806061,"domain_scores_codex":[0.9994155,0.00007612364,0.00001498089,0.00003304446,0.000116634,0.0003437042],"domain_scores_gemma":[0.9988894,0.0001911406,0.00008654432,0.00003417954,0.0004992279,0.0002996098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001494835,0.0001428778,0.07947723,0.001269591,0.0001790251,0.0007163514,0.01958588,0.00318484,0.0005760545,0.665014,0.07484602,0.1548587],"study_design_scores_gemma":[0.00002135514,0.0001091866,0.2350058,0.002430912,0.0003252997,0.0004354876,0.07472868,0.001154328,0.0002609111,0.07028807,0.6151281,0.0001119553],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.1315539,0.3993998,0.001337255,0.1862556,0.0028033,0.0000514167,0.002560599,0.00007224826,0.2759658],"genre_scores_gemma":[0.6894221,0.2899998,0.0007547598,0.006253146,0.001447983,0.00002122357,0.0004089418,0.00002547348,0.01166662],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9498007,"threshold_uncertainty_score":0.1969406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02740545005433394,"score_gpt":0.329977482194276,"score_spread":0.3025720321399421,"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."}}