{"id":"W4242081681","doi":"10.5194/hess-2020-430-rc1","title":"Reviewer comments on manuscript hess-2020-430","year":2020,"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":"","keywords":"Library science; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0006334294,0.0006153564,0.001053964,0.00002172959,0.0001542255,0.00005363678,0.001067014,0.0003227311,0.08157567],"category_scores_gemma":[0.001516156,0.0004433662,0.0003418085,0.0003898351,0.0002033714,0.00006821121,0.00093824,0.001031788,0.0452231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003497229,"about_ca_system_score_gemma":0.00001515278,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002266307,"about_ca_topic_score_gemma":0.00003669375,"domain_scores_codex":[0.9961937,0.0002546429,0.0006848223,0.001127606,0.00115312,0.0005860906],"domain_scores_gemma":[0.9983339,0.0001015251,0.0003065323,0.000861069,0.00003727713,0.0003597217],"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":[0.000002967658,0.00007626059,0.00003029187,0.0006699089,0.00001859421,0.00004703702,0.000006623313,0.00004917021,0.000003753445,0.000006832792,0.977939,0.02114962],"study_design_scores_gemma":[0.0001124069,0.000201348,0.0000535717,0.002872638,0.0001061202,0.000006702261,3.373134e-7,0.0001689241,0.000009579207,0.0001439493,0.9958333,0.0004910571],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001008522,0.009204928,0.00004361375,0.3720365,0.007495217,0.001639438,0.0002480833,0.0004329906,0.6087984],"genre_scores_gemma":[0.0001542779,0.009619462,0.001216338,0.3751761,0.0007515536,0.00009432915,0.0008555799,0.00009475838,0.6120377],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03635257,"threshold_uncertainty_score":0.9998018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07105862390016436,"score_gpt":0.3047308379956221,"score_spread":0.2336722140954577,"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."}}