{"id":"W3003808773","doi":"","title":"Examining the Exposure of Canadian Urban Population to Future Flood Risk","year":2018,"lang":"en","type":"article","venue":"EGUGA","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Flood myth; Population; Geography; Environmental planning; Environmental health; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006479983,0.0002815916,0.0001452119,0.00119558,0.002142383,0.001171219,0.0009373424,0.0004507178,0.002911243],"category_scores_gemma":[0.003157464,0.0001598825,0.0004822858,0.002324229,0.0005815433,0.0004005511,0.0007122725,0.0006063351,0.0001718828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02235676,"about_ca_system_score_gemma":0.02272295,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9959828,"about_ca_topic_score_gemma":0.9980018,"domain_scores_codex":[0.9994498,0.00005967503,0.00001575511,0.00004971856,0.0001856654,0.0002394726],"domain_scores_gemma":[0.9987146,0.000179367,0.0001417315,0.0000436323,0.0007139079,0.000206878],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001051379,0.00008720253,0.9659616,0.00004172742,0.0001043847,0.0001658259,0.002536494,0.002331762,0.0003195296,0.001027365,0.003782455,0.02353651],"study_design_scores_gemma":[0.000004965617,0.00003909454,0.985055,0.00002508372,0.00006917981,0.00005126755,0.006984532,0.002365908,0.0001747668,0.0002696509,0.004939232,0.00002134385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9896799,0.0002983505,0.0003005526,0.001020308,0.0000175792,0.00002747078,0.001427279,0.000007957393,0.007220623],"genre_scores_gemma":[0.9963522,0.0004484489,0.0002299718,0.0001073899,0.000008912416,0.00001181785,0.0005792679,0.000003362797,0.002258603],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02235676,"threshold_uncertainty_score":0.1622104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00989262033931991,"score_gpt":0.2057334497003498,"score_spread":0.1958408293610299,"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."}}