{"id":"W4309386185","doi":"10.5539/jsd.v16n1p1","title":"Climate Change, Fertility and Sahelian Demographics","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Demographic Trends and Gender Preferences","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climate change; Fertility; Context (archaeology); Geography; Population; Precipitation; Demography; Socioeconomics; Biology; Ecology; Economics; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004149814,0.0001004751,0.000127087,0.0006444314,0.0002671196,0.0006210376,0.0001256304,0.0001436241,0.003873],"category_scores_gemma":[0.002217735,0.00006809142,0.0001712899,0.001404093,0.0003302598,0.0003716139,0.0004236422,0.000301299,0.0002580264],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004546062,"about_ca_system_score_gemma":0.0003814606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01838181,"about_ca_topic_score_gemma":0.01657156,"domain_scores_codex":[0.9998133,0.00007561191,0.00001068885,0.00002612664,0.00003006883,0.00004422357],"domain_scores_gemma":[0.9992956,0.0002179627,0.0003017582,0.00003091188,0.0000583912,0.00009545314],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002724694,0.00002599708,0.9788766,0.00003833079,0.00007456941,0.0001475253,0.0005557195,0.001782383,0.0001497803,0.005026554,0.0009950825,0.0123003],"study_design_scores_gemma":[0.000003189896,0.00003223744,0.9901386,0.00002378259,0.0000166896,0.00007728176,0.0008675227,0.001415869,0.00008359864,0.001442039,0.005893834,0.000005326519],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832234,0.001548714,0.000398842,0.001014352,0.00003081593,0.00001159744,0.001717132,0.00001381672,0.0120414],"genre_scores_gemma":[0.9976962,0.001016042,0.0001077819,0.00006184304,0.00002417551,0.000004937081,0.0004265732,0.000001880839,0.00066056],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01838181,"threshold_uncertainty_score":0.03654963,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03812080621223003,"score_gpt":0.2866952662257439,"score_spread":0.2485744600135139,"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."}}