{"id":"W4323047633","doi":"10.5194/egusphere-2022-852-ac2","title":"Reply on RC2","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Ministry of Science and Technology, Taiwan; Academia Sinica; Global Lake Ecological Observatory Network","keywords":"Typhoon; Environmental science; Dissolved organic carbon; Stratification (seeds); Subtropics; Ecosystem; Hydrology (agriculture); Monsoon; Lake ecosystem; Oceanography; Inflow; Ecology; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.001986824,0.0009650114,0.0009664554,0.001044969,0.002495659,0.003989888,0.003030986,0.02070357,0.155938],"category_scores_gemma":[0.01928807,0.0005536666,0.001268712,0.000753327,0.002117881,0.004007314,0.002677586,0.02041462,0.1205638],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002773493,"about_ca_system_score_gemma":0.002441178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005724984,"about_ca_topic_score_gemma":0.006790067,"domain_scores_codex":[0.9981577,0.0003240458,0.0001849685,0.0003705815,0.0006795204,0.0002832038],"domain_scores_gemma":[0.9950014,0.001383851,0.0002130755,0.0003862526,0.002090472,0.0009250475],"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":[0.000008761685,0.000003595847,0.00003217459,0.00001412166,0.000001555855,0.00006792278,0.000008910999,0.00000474807,0.00002186084,0.0002935382,0.9970692,0.002473609],"study_design_scores_gemma":[0.000008616398,0.000005392333,0.0001485775,0.0000405615,0.00000206096,0.00007614602,0.00004793185,0.00002145314,0.00005425494,0.0004404559,0.9991468,0.000007831029],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0002228014,0.001883339,0.0002528996,0.6846813,0.2788523,0.0000815173,0.0004640839,0.0004271331,0.03313465],"genre_scores_gemma":[0.002916334,0.001286616,0.0002651849,0.7428073,0.09489024,0.0001519512,0.0002409966,0.0002788338,0.1571624],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.155938,"threshold_uncertainty_score":0.5216645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06951189450486074,"score_gpt":0.3139567726992264,"score_spread":0.2444448781943657,"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."}}