{"id":"W2908236810","doi":"10.3390/w11010063","title":"Flooding Related Consequences of Climate Change on Canadian Cities and Flow Regulation Infrastructure","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Flooding (psychology); Flood myth; Climate change; Geography; Environmental science; Natural hazard; Hazard; Climatology; Meteorology; Ecology; Oceanography; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008657742,0.00006200012,0.00006729659,0.00004346378,0.00004965238,0.00001622422,0.00004776075,0.00003569229,0.002278099],"category_scores_gemma":[9.71579e-7,0.0000416271,0.00001138743,0.00003470002,0.00006894297,0.0001488771,0.00004928218,0.00003713039,0.0001608164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000463247,"about_ca_system_score_gemma":0.000002062232,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218428,"about_ca_topic_score_gemma":0.006255528,"domain_scores_codex":[0.9995213,0.0000150836,0.00008337263,0.0001213012,0.00009705758,0.0001618505],"domain_scores_gemma":[0.9998475,0.000004046747,0.00002072558,0.00008705164,0.000002141805,0.00003851969],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001961463,0.00000757972,0.9536014,0.00005316492,0.00002267781,0.000005847891,0.005102662,0.00394331,0.02221156,0.002818849,0.001016009,0.0111973],"study_design_scores_gemma":[0.0003314462,0.0001065677,0.9774568,0.00004814904,0.00001650528,0.000001765986,0.0003402056,0.003775041,0.009278412,0.00330891,0.00516822,0.0001679885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.971783,0.000006196031,7.157362e-7,0.0005214024,0.000131254,0.0001759543,0.000005116146,0.000009884184,0.02736644],"genre_scores_gemma":[0.9989662,0.00004994379,0.0002268429,0.0001314729,0.000009266989,0.000004895238,0.00001312272,0.000004669363,0.0005936208],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02718313,"threshold_uncertainty_score":0.998634,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006597588235988467,"score_gpt":0.1924645562696732,"score_spread":0.1858669680336847,"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."}}