{"id":"W2515268201","doi":"","title":"H l OW many people will there be in the world in the next generation? How will","year":2016,"lang":"en","type":"article","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Falling (accident); Period (music); Fertility; Demography; Western europe; Quarter (Canadian coin); Total fertility rate; Geography; Life expectancy; Economic history; Demographic economics; History; Population; Economics; Sociology; Medicine; Archaeology; Family planning; Research methodology; Economic policy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001447151,0.0002748178,0.000314009,0.0005516694,0.00190195,0.004344376,0.0003898561,0.002937572,0.04133887],"category_scores_gemma":[0.003381366,0.0001269636,0.0002356271,0.0004213855,0.002693334,0.007130929,0.001258557,0.001807613,0.01116374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001526121,"about_ca_system_score_gemma":0.001170198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01170838,"about_ca_topic_score_gemma":0.01659526,"domain_scores_codex":[0.9993234,0.0003057191,0.00001466402,0.00006985335,0.0001221893,0.0001642226],"domain_scores_gemma":[0.9989445,0.0001397652,0.0001322271,0.00004780091,0.000184571,0.0005512542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001168347,0.0001380257,0.0367925,0.0002498384,0.00005821276,0.0006566225,0.009795574,0.0001702724,0.0004884416,0.0841003,0.6641416,0.2032918],"study_design_scores_gemma":[0.00001446195,0.0001179822,0.01996898,0.0006537313,0.00001771505,0.0007705181,0.04018482,0.0001604544,0.0001907575,0.03514583,0.9027187,0.00005599443],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0298867,0.0165553,0.001407013,0.7716606,0.008453883,0.00004093437,0.0007514848,0.0001210803,0.171123],"genre_scores_gemma":[0.4839485,0.04761213,0.002231356,0.219552,0.006821832,0.000148624,0.0008468191,0.00008980846,0.238749],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.9586611,"threshold_uncertainty_score":0.1382923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05486840087530812,"score_gpt":0.3020330953776433,"score_spread":0.2471646945023352,"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."}}