{"id":"W2971578919","doi":"10.1111/risa.13357","title":"Out of Sight, Out of Mind? Geographic and Social Predictors of Flood Risk Awareness","year":2019,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Disaster Management and Resilience","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Mount Royal University","funders":"Social Sciences and Humanities Research Council of Canada; Institute for Catastrophic Loss Reduction","keywords":"Flood myth; Worry; Context (archaeology); Risk perception; Geography; Logistic regression; Natural hazard; Social environment; Psychology; Environmental health; Perception; Business; Medicine; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005645211,0.0001327317,0.0001670652,0.0005259063,0.0006772659,0.001391754,0.0003343018,0.0005456889,0.004207385],"category_scores_gemma":[0.007630589,0.0001680463,0.0002338155,0.0004790729,0.001090973,0.0008472444,0.0008744448,0.0008005698,0.0002110239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006815032,"about_ca_system_score_gemma":0.0008342961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05288247,"about_ca_topic_score_gemma":0.08333329,"domain_scores_codex":[0.9996808,0.00009889201,0.00002254004,0.00003545505,0.0000826663,0.00007967709],"domain_scores_gemma":[0.9944035,0.002040185,0.002243727,0.0001887258,0.0003379074,0.0007858538],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002913638,0.00006918698,0.9900349,0.00001823078,0.00003742548,0.0001208169,0.004218835,0.0001040221,0.00007719293,0.0002193758,0.0004190773,0.004651897],"study_design_scores_gemma":[0.000001651563,0.0000263397,0.9783438,0.00003218045,0.00002538147,0.0001604013,0.02008859,0.0003429449,0.00003977195,0.0002656993,0.0006644336,0.000008817235],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970934,0.0001970515,0.0001094426,0.0006126517,0.00000988213,0.000002634736,0.00004584322,0.000003735199,0.001925326],"genre_scores_gemma":[0.999539,0.00009339553,0.00004279904,0.00003010562,0.000006839864,0.000001159601,0.0000216531,0.000001117526,0.0002639015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05288247,"threshold_uncertainty_score":0.1051493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009601604936180353,"score_gpt":0.2697494347818639,"score_spread":0.2601478298456836,"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."}}