{"id":"W4389039447","doi":"10.2139/ssrn.4645910","title":"Contributing Factors to Residential Flood Damage in Canada","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Flood myth; Environmental planning; Geography; Environmental science; Archaeology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003141506,0.0002331072,0.000287696,0.001817837,0.003047294,0.001708157,0.00117387,0.0005124515,0.005357606],"category_scores_gemma":[0.002704751,0.0002416351,0.0004092792,0.005050343,0.0009846395,0.000385167,0.001269449,0.0009259934,0.0003232858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03515271,"about_ca_system_score_gemma":0.04186376,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.996618,"about_ca_topic_score_gemma":0.9989861,"domain_scores_codex":[0.9992994,0.00004795778,0.00002836499,0.00006502973,0.0002147145,0.0003445181],"domain_scores_gemma":[0.9970306,0.0002281279,0.0004033824,0.00008128629,0.001317946,0.0009385875],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009002511,0.00005592511,0.9788823,0.00003211429,0.00004909629,0.0002832635,0.001803705,0.001108018,0.0002188669,0.001147578,0.00406666,0.01226235],"study_design_scores_gemma":[0.00000427205,0.0000106665,0.9909224,0.00002873771,0.00002149422,0.00007801297,0.004498621,0.0007645367,0.00006081164,0.0002301396,0.003366983,0.00001334275],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892349,0.00047719,0.0001481279,0.001096436,0.00001694649,0.0000186985,0.002713703,0.0000198318,0.006274142],"genre_scores_gemma":[0.9953756,0.0004854564,0.00009882201,0.00004723592,0.000009541448,0.000005821262,0.0007370638,0.000009821586,0.003230758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03515271,"threshold_uncertainty_score":0.255052,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009275409462047619,"score_gpt":0.2360097645904185,"score_spread":0.2267343551283709,"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."}}