{"id":"W3096249836","doi":"10.1093/inthealth/ihaa085","title":"Interpregnancy interval in lower versus higher human development index countries: a hypothesis about pregnancy spacing","year":2020,"lang":"en","type":"article","venue":"International Health","topic":"Reproductive Health and Contraception","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Human Development, Child and Youth Health; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Doris Duke Charitable Foundation","keywords":"Index (typography); Pregnancy; Human Development Index; Interval (graph theory); Medicine; Statistics; Obstetrics; Mathematics; Human development (humanity); Economics; Computer science; Biology; Economic growth","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002116271,0.0001906175,0.0003543012,0.0001733018,0.00008395832,0.00002871263,0.0001602551,0.00008118055,0.0007193247],"category_scores_gemma":[0.0001612531,0.0001839051,0.00007178031,0.0001657016,0.00004573402,0.0001780987,0.0000608839,0.0003424633,0.0001877912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000892226,"about_ca_system_score_gemma":0.0005395589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002351729,"about_ca_topic_score_gemma":0.0002354536,"domain_scores_codex":[0.9978987,0.0000600679,0.000691131,0.0005048345,0.0004693776,0.0003758838],"domain_scores_gemma":[0.9990786,0.00006356141,0.0002119919,0.0001858576,0.0001741063,0.0002858322],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0127841,0.001342761,0.5075257,0.002149679,0.0004234636,0.0003336188,0.01730661,0.0000473204,0.0003757068,0.004767892,0.006369349,0.4465738],"study_design_scores_gemma":[0.01001527,0.001735178,0.8904957,0.006189896,0.00001433837,0.00001869327,0.0002806088,0.0004984989,0.0002917547,0.0001611167,0.08994307,0.0003559095],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9028632,0.002411158,0.001449124,0.07467969,0.002825563,0.001528787,0.00001593593,0.0002045293,0.01402198],"genre_scores_gemma":[0.9925704,0.0001768057,0.0005141064,0.005041409,0.0006667425,0.00009287256,0.00002643747,0.00002950168,0.0008817483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4462179,"threshold_uncertainty_score":0.7876101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06722044356821184,"score_gpt":0.3551864027707808,"score_spread":0.287965959202569,"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."}}