{"id":"W2222339530","doi":"10.2139/ssrn.1834003","title":"Report on Singapore Fertility Survey 2010","year":2011,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Fertility; Survey data collection; Survey research; Survey methodology; Geography; Demography; Socioeconomics; Medicine; Sociology; Statistics; Population; Mathematics","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":[0.001999733,0.0006732325,0.0006164417,0.004216019,0.0004805972,0.0008527824,0.0008787191,0.0005575996,0.01375983],"category_scores_gemma":[0.003984116,0.0003903625,0.0006299606,0.007644825,0.00016495,0.0009004895,0.001178623,0.0006160958,0.01056337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531439,"about_ca_system_score_gemma":0.002827082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1165759,"about_ca_topic_score_gemma":0.1844673,"domain_scores_codex":[0.9987149,0.0002180468,0.0002838455,0.0001101673,0.0004337417,0.0002393497],"domain_scores_gemma":[0.9954738,0.0003588816,0.001200809,0.0002556932,0.002278745,0.0004320893],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002950531,0.00009286013,0.4172271,0.0008730572,0.000169472,0.0002797148,0.0005151291,0.0004488228,0.0002398417,0.0006678346,0.5537904,0.0254008],"study_design_scores_gemma":[0.00002434842,0.00006151048,0.847039,0.0001343674,0.00004728846,0.0001757666,0.0006423087,0.0003092797,0.0002957968,0.00005960788,0.1511773,0.00003329609],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.06801204,0.0009668552,0.0003774081,0.00108916,0.0004400795,0.000220187,0.912178,0.0002366555,0.01647952],"genre_scores_gemma":[0.1391405,0.001934248,0.0006342951,0.001086187,0.0002004447,0.000900044,0.7985437,0.00007629958,0.05748427],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1165759,"threshold_uncertainty_score":0.2317947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0850904273555954,"score_gpt":0.3149690251869309,"score_spread":0.2298785978313355,"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."}}