{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002277456,0.00008369995,0.0001930522,0.000128808,0.0002429993,0.00002572108,0.0001751262,0.00003475739,0.00007645476],"category_scores_gemma":[0.00029075,0.0000592135,0.00008709653,0.0004391798,0.0001708888,0.0002313169,0.00008363256,0.0001380083,0.00007371723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003886369,"about_ca_system_score_gemma":0.000323941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004152773,"about_ca_topic_score_gemma":8.718958e-7,"domain_scores_codex":[0.9982542,0.0000759781,0.0002527525,0.00008900582,0.0008274399,0.0005006641],"domain_scores_gemma":[0.9988462,0.00002897072,0.0001914773,0.00009447767,0.00009927721,0.0007396412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008852351,0.0008179852,0.7716288,0.00009855809,0.00005870096,0.000314701,0.0163127,0.000006280957,0.1790711,0.004804956,0.00357362,0.01446026],"study_design_scores_gemma":[0.0005252938,0.0006752538,0.9612101,0.0001727919,0.00002334353,0.001039083,0.001485506,0.000002445815,0.003327238,0.0002881511,0.03115233,0.00009849473],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.972381,0.0001920557,0.00006942519,0.02646256,0.0003341309,0.0001105973,0.000002465824,0.000007114118,0.0004406632],"genre_scores_gemma":[0.9943304,0.00005141033,0.0004138935,0.003907188,0.0008540215,8.435633e-7,8.459158e-8,0.000004342923,0.0004378063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1895813,"threshold_uncertainty_score":0.2414657,"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."}}