{"id":"W2089198428","doi":"10.1016/j.fertnstert.2009.01.064","title":"Fertility and aging: do reproductive-aged Canadian women know what they need to know?","year":2009,"lang":"en","type":"article","venue":"Fertility and Sterility","topic":"Reproductive Health and Technologies","field":"Medicine","cited_by":200,"is_retracted":false,"has_abstract":false,"ca_institutions":"B.C. Women's Hospital & Health Centre; Child and Family Research Institute; Women's Health Research Institute; University of British Columbia","funders":"","keywords":"Fertility; Miscarriage; Demography; Childlessness; Pregnancy; Total fertility rate; Demographics; Reproductive medicine; Medicine; Gerontology; Population; Family planning; Sociology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001978222,0.0002120658,0.00054335,0.001098868,0.007028312,0.00304833,0.001068345,0.0015253,0.006499985],"category_scores_gemma":[0.0113378,0.0003014196,0.0006840452,0.003281465,0.001957427,0.002119278,0.001208721,0.002494124,0.0004186248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03717623,"about_ca_system_score_gemma":0.08561867,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9948543,"about_ca_topic_score_gemma":0.9971492,"domain_scores_codex":[0.9983141,0.0001597201,0.00005132885,0.00009287099,0.0006461749,0.0007357231],"domain_scores_gemma":[0.9931278,0.0006907205,0.0008416343,0.0001098925,0.003125763,0.002104157],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003515299,0.0002802748,0.7648533,0.0004927008,0.0001539118,0.0005686286,0.04025077,0.0002461657,0.0002890057,0.004329518,0.06608731,0.1220969],"study_design_scores_gemma":[0.00005564824,0.00007890489,0.8525335,0.0008608687,0.0001691476,0.0002830272,0.07065004,0.000218572,0.0001266328,0.001146992,0.07376438,0.0001122083],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7019772,0.03512466,0.0002635284,0.1650645,0.001172435,0.0001286952,0.005257435,0.00002745827,0.0909841],"genre_scores_gemma":[0.9523154,0.02236377,0.0003952117,0.01432772,0.0001817556,0.00003657705,0.0009510391,0.00001118652,0.009417318],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03717623,"threshold_uncertainty_score":0.2697336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368536687572681,"score_gpt":0.287502720974022,"score_spread":0.2638173540982952,"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."}}