{"id":"W3151058323","doi":"10.1007/s00355-021-01379-y","title":"Childlessness, childfreeness and compensation","year":2021,"lang":"en","type":"article","venue":"Social Choice and Welfare","topic":"Gender, Labor, and Family Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de Recherche du Québec-Société et Culture","keywords":"Childlessness; Fertility; Imperfect; Social policy; Compensation (psychology); Economics; Consumption (sociology); Demographic economics; Population; Psychology; Social psychology; Demography; Sociology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.0001563813,0.00009111731,0.0001458317,0.00002211155,0.001755707,0.000134188,0.0000690236,0.0001358382,0.0000502193],"category_scores_gemma":[0.00006239067,0.00009944483,0.00004180819,0.0002080516,0.0002058627,0.0001547866,0.00004902658,0.0001068906,0.000002374875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002595541,"about_ca_system_score_gemma":0.00008391015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001897679,"about_ca_topic_score_gemma":0.007875213,"domain_scores_codex":[0.9991546,0.0001147712,0.0001031147,0.0002155456,0.0001973952,0.0002145303],"domain_scores_gemma":[0.999649,0.00003961941,0.00004313109,0.00006570721,0.00011964,0.00008287992],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003158906,0.00005475694,0.6444178,0.00004573421,0.00004046954,0.000006056297,0.03576404,0.000001349468,0.00003354164,0.3058078,0.000255586,0.01356973],"study_design_scores_gemma":[0.0002960517,0.000005554176,0.9118461,0.000007083812,0.00002571565,8.384136e-7,0.03881343,0.000007825391,0.000002171384,0.002789522,0.04606298,0.0001427477],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9693675,0.0009744435,0.00004899974,0.009343812,0.0002910507,0.00009909614,0.00003188188,0.00005599373,0.01978724],"genre_scores_gemma":[0.9977983,0.0005562623,0.00004287365,0.0004753042,0.0007679192,0.000004458355,0.00004824567,0.000009410342,0.0002972125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3030183,"threshold_uncertainty_score":0.9995438,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01721279559738977,"score_gpt":0.2767063326959031,"score_spread":0.2594935370985133,"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."}}