{"id":"W4414681804","doi":"10.1007/978-981-96-7933-1_4","title":"Booms, Busts, and Echoes Around the World: Demographics and the Great Acceleration","year":2025,"lang":"en","type":"book-chapter","venue":"Advances in 21st century human settlements","topic":"Global Health Care Issues","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Demographics; Climate change; Global warming; Key (lock); Extreme weather; Disturbance (geology); Forcing (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.0004020801,0.0003812329,0.0002064118,0.001008988,0.003452912,0.004020238,0.0005323191,0.0009570692,0.0222214],"category_scores_gemma":[0.0007202252,0.0002014885,0.00009875556,0.001807015,0.002867108,0.005746061,0.001994543,0.002100395,0.006955629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00256383,"about_ca_system_score_gemma":0.003401846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04370699,"about_ca_topic_score_gemma":0.1262617,"domain_scores_codex":[0.9997421,0.00006455299,0.000006442405,0.00002924704,0.0000965558,0.00006110007],"domain_scores_gemma":[0.9997455,0.00006124179,0.00002059676,0.000009763232,0.00005040871,0.0001123997],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.000008722181,0.00002545267,0.001809184,0.000139409,0.000002221117,0.0001780709,0.04583955,0.00003778851,0.0001341476,0.1066779,0.7085314,0.1366161],"study_design_scores_gemma":[4.809409e-7,0.000004178249,0.001668456,0.0001158639,5.752991e-7,0.000154072,0.01076752,0.00001103211,0.00001331418,0.002851124,0.9844102,0.000003226269],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01538623,0.1013977,0.0005399567,0.07454547,0.005008433,0.00003575769,0.0005557971,0.000115737,0.802415],"genre_scores_gemma":[0.09526688,0.09138522,0.000751106,0.01693772,0.002120284,0.00006182714,0.0005079226,0.0001729407,0.792796],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04370699,"threshold_uncertainty_score":0.08690518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03057578815171613,"score_gpt":0.4032901401914559,"score_spread":0.3727143520397397,"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."}}