{"id":"W4379212175","doi":"10.1787/7242509f-en","title":"Valuing a reduction in the risk of infertility","year":2023,"lang":"en","type":"report","venue":"OECD environment working papers","topic":"Economic and Environmental Valuation","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Contingent valuation; Infertility; Willingness to pay; Fertility; Business; Valuation (finance); Public economics; Environmental health; Natural resource economics; Economics; Environmental resource management; Medicine; Population; Finance","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003856333,0.0002707817,0.0005564362,0.0002173025,0.0001032533,0.00002815412,0.0003032965,0.0002903384,0.0008906394],"category_scores_gemma":[0.00008731722,0.0002700182,0.0002717842,0.0000988052,0.0001416116,0.00006126308,0.0001062925,0.0004984955,0.001025315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029713,"about_ca_system_score_gemma":0.00002630773,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009563254,"about_ca_topic_score_gemma":0.00003596518,"domain_scores_codex":[0.9976931,0.00008671691,0.001111303,0.0006204632,0.0001850281,0.0003034444],"domain_scores_gemma":[0.9980564,0.0001162689,0.001146114,0.0006447695,0.0000016843,0.00003483028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00000879275,0.0001092321,0.9808053,0.00006298965,0.0001355018,0.000002304463,0.0009892033,0.007878779,0.00003242851,0.0003472384,0.0005381838,0.009090003],"study_design_scores_gemma":[0.0002448331,0.00003421188,0.927581,0.00007190296,0.00004895504,0.000003340609,0.0003281082,0.0001393997,0.0000114793,0.001833732,0.06942426,0.0002788283],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6759691,0.004135887,0.00007268076,0.0003186901,0.00197327,0.001007402,0.0001729821,0.00005148962,0.3162985],"genre_scores_gemma":[0.9780586,0.01886588,0.0001430212,0.00002483261,0.000196441,0.0001058475,0.0001328909,0.00005843157,0.002414063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3138844,"threshold_uncertainty_score":0.9999752,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2137408764665068,"score_gpt":0.2522532613126263,"score_spread":0.03851238484611944,"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."}}