{"id":"W2163423241","doi":"10.1017/s0021932012000703","title":"BIRTH SEASONALITY AS A RESPONSE TO A CHANGING RURAL ENVIRONMENT (KAYES REGION, MALI)","year":2012,"lang":"en","type":"article","venue":"Journal of Biosocial Science","topic":"Global Maternal and Child Health","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Canadian Institutes of Health Research; Institut pour la Recherche en Santé Publique; Public Health Agency; International Development Research Centre","keywords":"Seasonality; Wet season; Geography; Dry season; Demography; Season of birth; Birth rate; Population; Socioeconomics; Ecology; Fertility; Biology; Cartography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003164767,0.0001051228,0.0001030207,0.0004227768,0.0002204932,0.0003150102,0.0001780294,0.0001274159,0.0008387871],"category_scores_gemma":[0.0007299432,0.0001038881,0.0001096114,0.0005840181,0.0002563391,0.0001650708,0.0003493215,0.0001950516,0.0001055837],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004367882,"about_ca_system_score_gemma":0.0002375936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01135454,"about_ca_topic_score_gemma":0.02457799,"domain_scores_codex":[0.9998523,0.00005225405,0.0000109444,0.00003191729,0.00001485617,0.00003760869],"domain_scores_gemma":[0.9994977,0.00009865311,0.0002679538,0.00002475674,0.00005885332,0.00005212703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008305693,0.00001974322,0.9914597,0.0000372645,0.00002900961,0.0002360027,0.001226771,0.0001636654,0.001787523,0.00007512511,0.0001391971,0.004742853],"study_design_scores_gemma":[4.796996e-7,0.00002229133,0.9990624,0.000002560244,0.000003333906,0.00005134616,0.000579726,0.00009116478,0.0000596944,0.000006848107,0.0001187863,0.000001448936],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994183,0.00008431778,0.00007239336,0.00003888353,0.00000223339,0.000004378695,0.0001880994,0.000003351702,0.0001881015],"genre_scores_gemma":[0.9994916,0.00007181182,0.0001211143,0.000009040107,0.000002656482,0.00000584229,0.0001476219,8.813711e-7,0.0001495084],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01135454,"threshold_uncertainty_score":0.02257687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01580874540871606,"score_gpt":0.3067651621019954,"score_spread":0.2909564166932794,"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."}}