{"id":"W3213504031","doi":"10.5194/nhess-2021-275-rc1","title":"Comment on nhess-2021-275","year":2021,"lang":"en","type":"peer-review","venue":"","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Flood myth; Flooding (psychology); Computer science; Judgement; Data mining; Remote sensing; Geology; Meteorology; Data science; Geography","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":[0.002544428,0.0006147798,0.0008772609,0.001172254,0.002593737,0.003758964,0.002204729,0.01642024,0.255789],"category_scores_gemma":[0.021641,0.0004236026,0.0009275033,0.001383648,0.001352614,0.002264249,0.001524184,0.008073187,0.2225825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003518856,"about_ca_system_score_gemma":0.006720586,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08014469,"about_ca_topic_score_gemma":0.09552027,"domain_scores_codex":[0.9973986,0.0001413517,0.0001920287,0.0002023751,0.001722138,0.0003435055],"domain_scores_gemma":[0.9859585,0.001882169,0.000341206,0.000793481,0.009869772,0.001154781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000009664096,0.000004545625,0.00003809763,0.00002256293,5.949242e-7,0.00002798696,0.000006212753,0.000007332982,0.00003596676,0.0003650998,0.9976315,0.001850443],"study_design_scores_gemma":[0.000007782372,0.000005201004,0.0003890899,0.00004462471,9.739173e-7,0.000009580042,0.0000253985,0.00002248353,0.00006006807,0.0002131471,0.9992161,0.000005668425],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.0008033791,0.00116656,0.0008469503,0.3375867,0.2592604,0.000726124,0.01139034,0.003816632,0.384403],"genre_scores_gemma":[0.002700296,0.0005841365,0.000462007,0.1780923,0.01807059,0.0003114138,0.002611904,0.0007312361,0.796436],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.255789,"threshold_uncertainty_score":0.8556995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02529288300810418,"score_gpt":0.2991642342520045,"score_spread":0.2738713512439003,"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."}}