{"id":"W4382893244","doi":"10.5194/essd-2023-188-rc1","title":"Comment on essd-2023-188","year":2023,"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":"Global Institute for Water Security","funders":"University of Chinese Academy of Sciences; Chinese Academy of Sciences","keywords":"Range (aeronautics); Probabilistic logic; Water cycle; Environmental science; Precipitation; Climatology; Satellite; Climate change; Surface runoff; Meteorology; Statistics; Mathematics; Geography; Geology; Physics; 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":[0.002410615,0.0007608925,0.001004169,0.0009873958,0.00206796,0.004205925,0.002392268,0.02152999,0.2348576],"category_scores_gemma":[0.01247866,0.0004434369,0.001734152,0.001287832,0.001257215,0.002285524,0.001937811,0.01073659,0.1830955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002868018,"about_ca_system_score_gemma":0.003074757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02012939,"about_ca_topic_score_gemma":0.02680212,"domain_scores_codex":[0.9983381,0.0001375502,0.000179768,0.0001845492,0.0008212851,0.0003386342],"domain_scores_gemma":[0.9964607,0.0009950646,0.0001366861,0.0002611607,0.001653202,0.0004931589],"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":[0.00002780041,0.000008388766,0.00006298503,0.0000388847,0.000001722696,0.00005550829,0.000006365358,0.00001421005,0.00004882163,0.0007128153,0.9960631,0.002959476],"study_design_scores_gemma":[0.0000219639,0.000009814146,0.0003841196,0.00007031452,0.000002156748,0.00001648342,0.00002202545,0.00003140901,0.00007044554,0.00053509,0.998828,0.000008242672],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008663702,0.002174649,0.0009494557,0.3799838,0.3245677,0.0005876273,0.02224346,0.002562019,0.2660649],"genre_scores_gemma":[0.00334554,0.0009096462,0.000464288,0.5087571,0.03262926,0.0004368667,0.004370595,0.0005564056,0.4485303],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2348576,"threshold_uncertainty_score":0.7856771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0355642215666199,"score_gpt":0.2872979196384129,"score_spread":0.251733698071793,"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."}}