{"id":"W1499500103","doi":"10.1111/jfr3.12104","title":"Through Hell and High Water!","year":2014,"lang":"en","type":"article","venue":"Journal of Flood Risk Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Geography; Flooding (psychology); Foothills; Downtown; Population; Flood myth; Tributary; Socioeconomics; Hydrology (agriculture); Archaeology; Demography; Cartography; Geology","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":[0.0008967227,0.0001747026,0.0002387762,0.00007098001,0.000147993,0.00007388702,0.0003141152,0.00003589258,0.0005014142],"category_scores_gemma":[0.000008078463,0.0001128501,0.0000873067,0.0001019315,0.00008083304,0.0003981114,0.0004874353,0.0001671657,0.0002436796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006875846,"about_ca_system_score_gemma":0.000001372184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001849331,"about_ca_topic_score_gemma":0.00003577777,"domain_scores_codex":[0.9984361,0.0001062772,0.0004152427,0.0002215888,0.0005153635,0.0003054482],"domain_scores_gemma":[0.9993954,0.00002309309,0.0002541305,0.000231779,0.00001098709,0.00008456954],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000326994,0.00166701,0.07334618,0.0003225745,0.001619496,0.0003573772,0.003012809,0.0287303,0.00202711,0.04100102,0.1387458,0.7088434],"study_design_scores_gemma":[0.003080118,0.0008869315,0.06803376,0.00005670579,0.000658609,0.00002617267,0.0004466558,0.001486197,0.003029986,0.03470983,0.887145,0.0004400673],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8474966,0.0002554813,0.06070735,0.002493505,0.001150183,0.0004890166,0.000002101478,0.00004489431,0.08736087],"genre_scores_gemma":[0.9573266,0.003088683,0.03647928,0.0004697275,0.0001729912,0.000005310772,0.000001574326,0.00002020681,0.002435659],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7483992,"threshold_uncertainty_score":0.5490134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003348730711493377,"score_gpt":0.1965834070822857,"score_spread":0.1932346763707923,"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."}}