{"id":"W4319047111","doi":"10.1016/j.envint.2023.107792","title":"Temperature variability and birthweight: Epidemiological evidence from Africa","year":2023,"lang":"en","type":"article","venue":"Environment International","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Canadian Institute for Advanced Research","funders":"","keywords":"Demography; Percentile; Low birth weight; Odds ratio; Pregnancy; Medicine; Logistic regression; Epidemiology; Geography; Odds; Environmental health; Statistics; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001862786,0.0004116073,0.0004604097,0.002047596,0.000373615,0.001084413,0.000552272,0.0004880692,0.00207571],"category_scores_gemma":[0.008944817,0.0003592185,0.0007507771,0.004554464,0.000985435,0.0004622553,0.001141642,0.0006761872,0.0001749314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003933771,"about_ca_system_score_gemma":0.0004796965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01452339,"about_ca_topic_score_gemma":0.008715985,"domain_scores_codex":[0.9988208,0.0004977226,0.0001329121,0.0002487316,0.0001774425,0.000122351],"domain_scores_gemma":[0.993183,0.002587852,0.003041982,0.0004149315,0.0005437987,0.0002284792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002103272,0.00001783832,0.9832509,0.0006289226,0.0005818558,0.0002284191,0.0005001602,0.0002268046,0.0003033392,0.0002723685,0.0004703437,0.01330874],"study_design_scores_gemma":[0.00001051978,0.00005031034,0.9966515,0.000549631,0.0002548633,0.0003974765,0.0003347783,0.0001476586,0.00005569448,0.0001628157,0.001378057,0.000006709139],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9429564,0.04801456,0.001099588,0.001823811,0.0000921269,0.00003360271,0.002757438,0.00001621018,0.003206261],"genre_scores_gemma":[0.9840149,0.01504606,0.0002675608,0.0001266429,0.00008058546,0.00001238915,0.0003952904,0.000006256947,0.00005029567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01452339,"threshold_uncertainty_score":0.02887768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08811336227615148,"score_gpt":0.3134711638181921,"score_spread":0.2253578015420406,"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."}}