{"id":"W4200029337","doi":"10.5194/nhess-2021-275-ac2","title":"Reply on RC2","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; Data mining; Judgement; Data science; Remote sensing; Meteorology; Geology; 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":[0.002255095,0.0007746488,0.000937345,0.0009718895,0.002766567,0.002940769,0.002545086,0.0206394,0.08041573],"category_scores_gemma":[0.02383887,0.0003995771,0.001003872,0.0007802478,0.001653327,0.002626405,0.001699007,0.0147663,0.05901096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004444215,"about_ca_system_score_gemma":0.005059612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02911028,"about_ca_topic_score_gemma":0.04351406,"domain_scores_codex":[0.9977742,0.0003086719,0.00023523,0.0003276165,0.001013811,0.0003404535],"domain_scores_gemma":[0.9932771,0.001539045,0.0002187007,0.0003212458,0.003578247,0.001065598],"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":[0.000008940004,0.000002659164,0.00004441489,0.00001363412,0.00000154787,0.00007303264,0.00001072805,0.00000426366,0.00001975338,0.00019578,0.9979734,0.001651962],"study_design_scores_gemma":[0.000007536458,0.000005338912,0.0002542404,0.00004129424,0.000002552092,0.00007894424,0.00006257779,0.00001984873,0.00004736991,0.0002476881,0.9992241,0.000008630675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003087842,0.002150667,0.000181549,0.8245332,0.1517411,0.0001175993,0.0006051018,0.0002806102,0.02008136],"genre_scores_gemma":[0.003048448,0.001499332,0.0002131266,0.8052976,0.04916582,0.0001594345,0.0002870075,0.0001578545,0.1401714],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.08041573,"threshold_uncertainty_score":0.2690174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02200934606704772,"score_gpt":0.2950635697074468,"score_spread":0.2730542236403991,"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."}}