{"id":"W4205106578","doi":"10.31235/osf.io/6rv34","title":"Population Externalities and Optimal Social Policy","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"National Institute of Child Health and Human Development; National Institutes of Health; Riksbankens Jubileumsfond; Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of Texas at Austin","keywords":"Externality; Fertility; Subsidy; Economics; Population; Altruism (biology); Public economics; Total fertility rate; Welfare; Microeconomics; Government (linguistics); Imperfect; Family planning; Demography; Market economy; Social psychology; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.001392855,0.0004231113,0.0006561449,0.0006264969,0.0006233105,0.001539619,0.0004036718,0.001192047,0.006397232],"category_scores_gemma":[0.005613794,0.0003321049,0.0004956751,0.0004339824,0.001739658,0.001587094,0.001068139,0.001086021,0.0002509091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003936867,"about_ca_system_score_gemma":0.001983967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005983109,"about_ca_topic_score_gemma":0.005435484,"domain_scores_codex":[0.9991743,0.0004092962,0.00001861502,0.00009236691,0.00007025832,0.0002350984],"domain_scores_gemma":[0.9985146,0.0008937221,0.0002811135,0.00007830824,0.00009900233,0.000133218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009898606,0.0001041054,0.005180001,0.00007545818,0.0000905619,0.0001436039,0.0001393554,0.3531925,0.0007313026,0.626141,0.00295511,0.01114799],"study_design_scores_gemma":[0.00008165729,0.00006972233,0.005092698,0.00006126327,0.00003555469,0.00007188151,0.0003376654,0.177875,0.0003785429,0.8098137,0.006160978,0.00002126983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7132649,0.0008732483,0.1218952,0.01462464,0.0001469207,0.0001510566,0.001008912,0.0002026777,0.1478324],"genre_scores_gemma":[0.9900294,0.0003713875,0.003276557,0.0003483685,0.00003382698,0.00005914734,0.00006784291,0.00002306568,0.005790501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006397232,"threshold_uncertainty_score":0.02856416,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04019206546756882,"score_gpt":0.343390339509447,"score_spread":0.3031982740418782,"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."}}