{"id":"W4213210220","doi":"10.1186/s41118-022-00156-8","title":"Population perspectives and demographic methods to strengthen CRVS systems: introduction","year":2022,"lang":"en","type":"editorial","venue":"Genus","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Global Affairs Canada; International Development Research Centre","keywords":"Population; Thematic map; Geography; Demography; Sociology; Cartography","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.01051623,0.002144377,0.001519947,0.004969334,0.002575919,0.007087721,0.002010356,0.005485847,0.006856407],"category_scores_gemma":[0.03602133,0.0005238855,0.001377837,0.001999587,0.00567975,0.005684915,0.002843887,0.013431,0.003893655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003531742,"about_ca_system_score_gemma":0.003021293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00253432,"about_ca_topic_score_gemma":0.004088225,"domain_scores_codex":[0.9942498,0.002288301,0.0004449446,0.0006734038,0.002144887,0.0001986122],"domain_scores_gemma":[0.9702679,0.01839612,0.0007733026,0.0007148399,0.008552618,0.001295277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001158019,0.000009899471,0.00008461367,0.0005472212,0.00001235569,0.00006118149,0.0003006262,0.00008849121,0.00008492231,0.01089039,0.9674823,0.02042627],"study_design_scores_gemma":[0.00000467194,0.00001577413,0.0002509837,0.0008587849,0.00001059579,0.00009721261,0.0002542655,0.0001372975,0.00006026463,0.009339703,0.9889581,0.00001218707],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001134657,0.04726417,0.001640797,0.09095314,0.8540558,0.00003640035,0.00009036277,0.00008474173,0.005761149],"genre_scores_gemma":[0.002220524,0.04263224,0.001614941,0.03069321,0.9108423,0.00005996404,0.00007186948,0.0001367289,0.01172821],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01051623,"threshold_uncertainty_score":0.05561578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01233313177769914,"score_gpt":0.32606046342873,"score_spread":0.3137273316510309,"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."}}