{"id":"W4412842671","doi":"10.4054/demres.2025.53.6","title":"Trends in Indigenous fertility in Canada, 2001–2021","year":2025,"lang":"en","type":"article","venue":"Demographic Research","topic":"Maternal and Perinatal Health Interventions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Fertility; Indigenous; Geography; Demography; Socioeconomics; Political science; Population; Biology; Sociology; Ecology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008984588,0.000323737,0.000319786,0.002989511,0.002671486,0.001164468,0.001271882,0.0003330428,0.003493151],"category_scores_gemma":[0.002337737,0.0001963934,0.0006489791,0.004795691,0.0005498121,0.0004447955,0.0009649874,0.001009749,0.0003104595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04805702,"about_ca_system_score_gemma":0.06442396,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9981027,"about_ca_topic_score_gemma":0.9987743,"domain_scores_codex":[0.9991025,0.00004078164,0.00004353696,0.0000929243,0.0003209432,0.0003993159],"domain_scores_gemma":[0.9972637,0.00008840406,0.0003378113,0.00004517658,0.001706366,0.0005586115],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001580119,0.00007272774,0.8945154,0.0007674934,0.000233471,0.000265611,0.004893662,0.001169161,0.0004328001,0.002707629,0.03762733,0.05715672],"study_design_scores_gemma":[0.000006339336,0.00001698184,0.9809821,0.0001735994,0.00003171524,0.00009582721,0.002343739,0.0004191908,0.0001183708,0.00006834343,0.01572163,0.00002224362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8154358,0.01590195,0.0007139355,0.006816098,0.0001940732,0.000167741,0.1420106,0.0002333751,0.01852651],"genre_scores_gemma":[0.9545183,0.008876916,0.001111475,0.000783006,0.00005018941,0.00009202475,0.02547804,0.00003087015,0.00905929],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04805702,"threshold_uncertainty_score":0.3486797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07924545103080972,"score_gpt":0.4379883679376694,"score_spread":0.3587429169068597,"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."}}