{"id":"W4392757101","doi":"10.1002/hec.4822","title":"The optimal design of assisted reproductive technologies policies","year":2024,"lang":"en","type":"article","venue":"Health Economics","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Center for Interuniversity Research and Analysis on Organizations; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Fecundity; Economics; Utilitarianism; Egalitarianism; Fertility; Wage; Incentive; Assisted reproductive technology; Welfare; Public economics; Microeconomics; Labour economics; Demography; Biology; Population; Infertility; Market economy; Sociology; Politics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00144118,0.00007814186,0.0001558198,0.00006945385,0.0005595185,0.00009498955,0.0002686773,0.00008953921,0.000002695571],"category_scores_gemma":[0.0002079202,0.00006315907,0.00004430878,0.0002157598,0.0005021638,0.0001036488,0.00004711367,0.000136139,0.00001203269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002764594,"about_ca_system_score_gemma":0.001111416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001430959,"about_ca_topic_score_gemma":0.000856593,"domain_scores_codex":[0.9989709,0.0001148527,0.000285036,0.0002318414,0.00006032541,0.0003369959],"domain_scores_gemma":[0.9991991,0.0003216852,0.0001098149,0.0002757514,0.0000517579,0.00004190244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002488941,0.00004040453,0.002026636,0.00009074149,0.00008368512,0.000001177013,0.04596116,0.003186078,0.00001633901,0.8586313,0.006521475,0.08341616],"study_design_scores_gemma":[0.0002636129,0.0003752994,0.021269,0.00009105388,0.00003042137,0.000008905608,0.3775401,0.0184311,0.0001203975,0.06074397,0.5206227,0.0005034789],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7892945,0.03319842,0.01378558,0.1365755,0.0060528,0.002199719,0.0001459625,0.001596573,0.01715097],"genre_scores_gemma":[0.9600338,0.03238704,0.005635218,0.0002802247,0.0002568235,0.00003980619,0.000003500234,0.00002253171,0.001341025],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7978873,"threshold_uncertainty_score":0.430342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07048388330347885,"score_gpt":0.3389968115259824,"score_spread":0.2685129282225035,"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."}}