{"id":"W4400363819","doi":"10.5194/ems2024-938","title":"Exploring vulnerability patterns in heat-related preterm birth: a multi-country multi-city analysis","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Demography; Socioeconomic status; Medicine; Poisson regression; Percentile; Premature birth; Gestational age; Marital status; Parity (physics); Pregnancy; Population; Environmental health","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":[0.01755462,0.00144559,0.004977792,0.00520962,0.001053697,0.002344432,0.002123493,0.001503113,0.003381075],"category_scores_gemma":[0.0181323,0.001450883,0.02951911,0.007695997,0.0006469428,0.00114128,0.004594097,0.002077333,0.0002951146],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001134907,"about_ca_system_score_gemma":0.00161164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0199537,"about_ca_topic_score_gemma":0.01680655,"domain_scores_codex":[0.9855882,0.008702895,0.001914489,0.002177185,0.0007492322,0.0008679513],"domain_scores_gemma":[0.9860386,0.007256163,0.002481825,0.002549858,0.001240239,0.0004333756],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004031254,0.0001266652,0.4948659,0.0101936,0.4721915,0.0007001327,0.000526425,0.007712846,0.001047722,0.0007930298,0.001303577,0.006507379],"study_design_scores_gemma":[0.0008116801,0.0009287035,0.5540166,0.001885061,0.4161563,0.0007332653,0.001049692,0.01866207,0.0006253116,0.001491532,0.003438008,0.0002016997],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8784305,0.08314131,0.0222194,0.0009935582,0.000271604,0.0007373306,0.01297076,0.000207743,0.001027809],"genre_scores_gemma":[0.9891925,0.003203176,0.004668649,0.0001701186,0.00003336807,0.0004964136,0.001977348,0.00004691591,0.0002113741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0199537,"threshold_uncertainty_score":0.09283876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2266082023108081,"score_gpt":0.3603409849409083,"score_spread":0.1337327826301002,"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."}}