{"id":"W4221115027","doi":"10.5194/gmd-2022-16-rc1","title":"Comment on gmd-2022-16","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Vlaamse regering; European Commission; Belgian Federal Science Policy Office; Vlaams Supercomputer Centrum; Fonds Wetenschappelijk Onderzoek; National Center for Atmospheric Research; National Science Foundation","keywords":"Parametrization (atmospheric modeling); Streamflow; Environmental science; Surface runoff; Hydrology (agriculture); Routing (electronic design automation); Computer science; Geology; Geography; Drainage basin; Ecology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002358878,0.001218093,0.001134131,0.001248743,0.001787835,0.004893017,0.002811063,0.02387903,0.1540181],"category_scores_gemma":[0.01215783,0.0005381966,0.001741711,0.001534138,0.001566783,0.002590541,0.001951146,0.01240684,0.1413004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003974495,"about_ca_system_score_gemma":0.004408709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03530825,"about_ca_topic_score_gemma":0.0283579,"domain_scores_codex":[0.9980553,0.0001694504,0.0001377215,0.000224291,0.001040221,0.0003728935],"domain_scores_gemma":[0.9966241,0.0008118796,0.0001839415,0.0003249044,0.001677291,0.000377853],"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":[0.00003804614,0.00001231459,0.00005743535,0.00005098073,0.000002002145,0.000049448,0.000009479947,0.0000396439,0.00009743842,0.00123334,0.9951633,0.003246571],"study_design_scores_gemma":[0.00002151133,0.00001033974,0.0004873391,0.00006783216,0.000002588508,0.00001597587,0.00001718419,0.00006398818,0.00009109639,0.0008330098,0.9983767,0.0000124411],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.001025192,0.002636467,0.001568836,0.3310694,0.2683322,0.0007366397,0.03450939,0.004626509,0.3554954],"genre_scores_gemma":[0.005179018,0.001137496,0.00142727,0.5375224,0.03016191,0.0007308456,0.006666201,0.001112025,0.4160629],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.1540181,"threshold_uncertainty_score":0.515242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345247527171195,"score_gpt":0.2673027186248256,"score_spread":0.2438502433531137,"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."}}