{"id":"W2549927747","doi":"10.1016/j.annepidem.2016.10.007","title":"Identifying emerging reproductive vulnerability: an approach to decompose differences in total fertility","year":2016,"lang":"en","type":"article","venue":"Annals of Epidemiology","topic":"Family Dynamics and Relationships","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Université de Montréal; Institut National de Santé Publique du Québec","funders":"Fonds de Recherche du Québec - Santé; Health Canada","keywords":"Fertility; Demography; Total fertility rate; Medicine; Socioeconomic status; Disadvantaged; Birth rate; Population; Environmental health; Family planning; Economic growth; Economics; Research methodology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01199182,0.0001044729,0.0004441307,0.0001562613,0.0002088366,0.000006547425,0.0002671493,0.0001552736,0.00002443218],"category_scores_gemma":[0.01547895,0.00007287695,0.00008686341,0.0003105817,0.0004641339,0.0002407164,0.00007977811,0.0001457159,0.000007118301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003937614,"about_ca_system_score_gemma":0.00006743168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003642273,"about_ca_topic_score_gemma":0.001368816,"domain_scores_codex":[0.9953363,0.002853158,0.0006213115,0.0005781894,0.000123372,0.0004877016],"domain_scores_gemma":[0.9970036,0.002098977,0.0001814548,0.0003901548,0.0001562984,0.0001695705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005716246,0.0001876499,0.9027858,0.000009735097,0.00001779612,4.23505e-7,0.006152099,0.0001316896,0.0002777709,0.07742195,0.00009977982,0.01285808],"study_design_scores_gemma":[0.00007240214,0.00004383473,0.8862219,0.00002487996,0.00000277422,3.116539e-7,0.001790739,0.0003257855,0.00001999391,0.1112455,0.0001521582,0.00009963968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9793934,0.0002158649,0.005275855,0.01128452,0.000256149,0.0002295152,0.00000784297,0.00002523456,0.003311653],"genre_scores_gemma":[0.9965198,0.0001153748,0.002779464,0.0002652018,0.00009324708,0.00002374099,0.000003313623,0.000005627059,0.0001942082],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03382359,"threshold_uncertainty_score":0.9928141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3449005259934191,"score_gpt":0.4581724723232354,"score_spread":0.1132719463298164,"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."}}