{"id":"W1964931868","doi":"10.1007/s11069-014-1064-0","title":"Interaction between land-use change, flooding and human health in Metro Vancouver, Canada","year":2014,"lang":"en","type":"article","venue":"Natural Hazards","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"","keywords":"Urbanization; Flooding (psychology); Natural hazard; Flood myth; Geography; Preparedness; Land use; Vegetation (pathology); Land cover; Natural disaster; Climate change; Environmental planning; Environmental resource management; Water resource management; Environmental science; Civil engineering; Meteorology; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002024144,0.00008621511,0.0001555009,0.00003060461,0.0001072428,0.00002798988,0.00008151188,0.00003506226,0.00005629341],"category_scores_gemma":[0.000009020152,0.00006598655,0.00001324747,0.0001075881,0.000004455917,0.0003699297,0.00007266096,0.0001383207,0.000007067151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003032724,"about_ca_system_score_gemma":0.00001037331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8511612,"about_ca_topic_score_gemma":0.9975747,"domain_scores_codex":[0.9992722,0.00005118819,0.0001412953,0.0001759441,0.000151519,0.0002078464],"domain_scores_gemma":[0.9997251,0.00004078043,0.00006173476,0.000090876,0.000003302278,0.00007821618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003811758,0.000005087874,0.977304,0.00002084015,0.000004137547,0.000001136128,0.00008449621,0.00001784395,0.00001490063,0.000003211187,0.002377328,0.02016324],"study_design_scores_gemma":[0.0003081656,0.00003886738,0.9642562,0.00004859607,0.000004463104,5.982262e-7,0.00006683363,0.002013089,0.00007914061,0.00003558719,0.03302401,0.0001244619],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986385,0.00006998707,0.000001712211,0.0003355232,0.0005590582,0.00009724941,0.000008028536,0.00001513182,0.0002748611],"genre_scores_gemma":[0.9991633,0.00001234002,0.00004224616,0.0005753157,0.000142418,0.000004634951,0.0000167265,0.000006196408,0.00003678709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1464135,"threshold_uncertainty_score":0.2690854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01675738011569417,"score_gpt":0.2563168807382104,"score_spread":0.2395595006225162,"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."}}