{"id":"W4388422021","doi":"10.5194/egusphere-2023-1521-rc2","title":"Comment on egusphere-2023-1521","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Ministère des Forêts, de la Faune et des Parcs","keywords":"STREAMS; Hydrology (agriculture); Watershed; Surface runoff; Bottleneck; Channel (broadcasting); Hydrography; Infiltration (HVAC); Environmental science; Digital elevation model; Scale (ratio); Computer science; Algorithm; Geology; Remote sensing; Geography; Machine learning; Ecology; Cartography; Meteorology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003112708,0.0008328286,0.0009016031,0.001915512,0.003216501,0.004039058,0.002348985,0.02000484,0.2309647],"category_scores_gemma":[0.03138978,0.0004784101,0.0008789817,0.001664925,0.001698125,0.003457931,0.002286406,0.008875167,0.197412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002695332,"about_ca_system_score_gemma":0.003300155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02156509,"about_ca_topic_score_gemma":0.02519133,"domain_scores_codex":[0.9971533,0.0002153914,0.0002753304,0.0002814965,0.001693206,0.0003812696],"domain_scores_gemma":[0.9847503,0.003258178,0.0005499377,0.001012573,0.008702829,0.001726181],"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":[0.00001187295,0.000006503929,0.00004949833,0.0000264277,8.343453e-7,0.00006028501,0.00001071728,0.000005115066,0.00004291198,0.0004676541,0.9964205,0.002897736],"study_design_scores_gemma":[0.000009513605,0.00000677663,0.0002771713,0.00005329409,0.000001162883,0.00002417662,0.00003337971,0.00002113358,0.00006965605,0.0002655749,0.9992311,0.000007118379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0006182696,0.001122618,0.0007706613,0.4662498,0.3373507,0.0005442879,0.003116329,0.002767311,0.18746],"genre_scores_gemma":[0.00383404,0.001133833,0.0006297526,0.3667897,0.06693485,0.0003795933,0.001279442,0.001171585,0.5578472],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2309647,"threshold_uncertainty_score":0.772654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02753028144119644,"score_gpt":0.2782794177226421,"score_spread":0.2507491362814457,"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."}}