{"id":"W4236015924","doi":"10.31899/pgy3.1005","title":"Fertility transitions in developing countries: Progress or stagnation?","year":2008,"lang":"en","type":"report","venue":"","topic":"Insurance, Mortality, Demography, Risk Management","field":"Social Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertility; Pace; Developing country; Sub-replacement fertility; Quarter (Canadian coin); Demographic transition; Total fertility rate; Development economics; Developed country; Population; Population momentum; Economic stagnation; Demographic economics; Economics; Geography; Economic growth; Birth rate; Demography; Political science; Family planning; Research methodology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00272272,0.0003319904,0.0005625146,0.0005479214,0.0008451046,0.0001692509,0.0004861733,0.0004392739,0.0006952436],"category_scores_gemma":[0.000210658,0.0002990015,0.0001925821,0.001337471,0.0008491558,0.0003463398,0.0000530101,0.0003546402,0.00003945978],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001474845,"about_ca_system_score_gemma":0.006247766,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01170172,"about_ca_topic_score_gemma":0.1953484,"domain_scores_codex":[0.9949654,0.0003316544,0.0008947934,0.0006605369,0.002473635,0.0006739596],"domain_scores_gemma":[0.9980453,0.00009656131,0.0002932912,0.0004017292,0.001052457,0.0001106632],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002070529,0.001409467,0.672451,0.00314941,0.0008832189,0.001125402,0.05683176,0.00004583424,8.305966e-8,0.1321319,0.09388098,0.03788388],"study_design_scores_gemma":[0.0002136295,0.00001557407,0.2321843,0.0001993759,0.00003688869,0.000001611144,0.002012175,0.000007132826,0.000001484998,0.0004417219,0.7644601,0.0004259781],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03808479,0.001846641,0.002467359,0.01091898,0.003323898,0.005480868,0.0003101211,0.000875585,0.9366918],"genre_scores_gemma":[0.9177705,0.03329127,0.004268175,0.001159686,0.0007125493,0.001325729,0.0004032018,0.0001151892,0.04095369],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8957381,"threshold_uncertainty_score":0.9999462,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07255825242873798,"score_gpt":0.382362623181882,"score_spread":0.309804370753144,"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."}}