{"id":"W4313452012","doi":"10.5194/egusphere-2022-1125-rc1","title":"Comment on egusphere-2022-1125","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada; York University","funders":"Alliance de recherche numérique du Canada; Western Canada Research Grid","keywords":"Downscaling; Grid; Meteorology; Context (archaeology); Weather Research and Forecasting Model; Terrain; Environmental science; Scale (ratio); Computer science; Precipitation; Geography; Cartography","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":[0.002740358,0.0009839582,0.000926564,0.0008144175,0.002468656,0.003315322,0.002869751,0.04145653,0.05798065],"category_scores_gemma":[0.01158957,0.0004887221,0.00164996,0.001143616,0.001949738,0.002736929,0.002138859,0.02024015,0.0469804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00388548,"about_ca_system_score_gemma":0.004220451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03508809,"about_ca_topic_score_gemma":0.03836324,"domain_scores_codex":[0.9978926,0.0001752254,0.0002223163,0.0002833085,0.001032672,0.0003938702],"domain_scores_gemma":[0.9970148,0.0008747199,0.0001876077,0.000259267,0.001187532,0.0004761596],"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":[0.00004470524,0.00001862577,0.0001667631,0.00004873156,0.00000370992,0.0001874578,0.00002834479,0.00002311611,0.0001546338,0.001494442,0.994839,0.00299046],"study_design_scores_gemma":[0.00001855719,0.00001367844,0.0008578582,0.00006618554,0.000003976016,0.00003469609,0.00004999554,0.00004161372,0.0001201207,0.0007871568,0.9979919,0.00001429794],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009238925,0.002520004,0.0006724186,0.693244,0.2146788,0.0003265641,0.004899878,0.0008662512,0.08186815],"genre_scores_gemma":[0.002499194,0.0006019227,0.0003091065,0.8939441,0.02053802,0.0001952397,0.0007529088,0.0001424758,0.08101707],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05798065,"threshold_uncertainty_score":0.1939645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01704994614950302,"score_gpt":0.2520193726534466,"score_spread":0.2349694265039436,"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."}}