{"id":"W4407172314","doi":"10.1215/00703370-11792975","title":"Flooding, Sociospatial Risk, and Population Health","year":2025,"lang":"en","type":"article","venue":"Demography","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Floodplain; Flood myth; Population; Environmental health; Geography; Population health; Mental health; Medicine; Cartography; Psychiatry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002358592,0.00006537057,0.00009408559,0.00006701065,0.0002890212,0.00001749903,0.00004396222,0.00004005845,0.0001901008],"category_scores_gemma":[0.00001703631,0.00006139911,0.0000300357,0.0002750171,0.0000462787,0.00007347728,0.00004582173,0.00008544495,0.0000236271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004172375,"about_ca_system_score_gemma":0.0000046867,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004026951,"about_ca_topic_score_gemma":0.001357811,"domain_scores_codex":[0.9993691,0.00004505812,0.0001260714,0.0001565899,0.00009059538,0.0002125112],"domain_scores_gemma":[0.9997146,0.00002707383,0.00006269143,0.00009215278,0.00000187222,0.0001016753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000004098233,0.00001356977,0.9469358,0.00001517247,0.000002167689,1.692782e-7,0.0002641403,0.000005683489,0.00001200303,0.0001195543,0.01174423,0.04088346],"study_design_scores_gemma":[0.0001807141,0.00003836356,0.9911239,0.00001873164,0.000005916155,3.057636e-7,0.00006037671,0.0001960501,0.000008285702,0.003442311,0.004872704,0.00005239645],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940575,0.0003406228,0.0002223511,0.002639675,0.0001096074,0.0001693846,0.00001036016,0.00004196407,0.002408571],"genre_scores_gemma":[0.9962382,0.0006885573,0.0004885467,0.002488853,0.00002774054,0.00000620947,0.0000156294,0.000004222194,0.0000419977],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04418809,"threshold_uncertainty_score":0.6087573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01485761270633656,"score_gpt":0.2994183784898385,"score_spread":0.2845607657835019,"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."}}