{"id":"W4361018153","doi":"10.5194/egusphere-2022-1125-ac1","title":"Comment on egusphere-2022-1125","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","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; Weather Research and Forecasting Model; Context (archaeology); Grid; Meteorology; Terrain; Environmental science; Scale (ratio); Computer science; Geography; Precipitation; 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":[0.002004792,0.0009269411,0.0008541397,0.0009090386,0.002711577,0.003429606,0.002177354,0.02716211,0.165435],"category_scores_gemma":[0.01086231,0.0004448483,0.001326633,0.001089575,0.001468593,0.002564789,0.001990961,0.01310519,0.1223542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003243123,"about_ca_system_score_gemma":0.00289613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03568578,"about_ca_topic_score_gemma":0.04112754,"domain_scores_codex":[0.998494,0.0001090398,0.0001338949,0.0001727892,0.0007895298,0.0003006863],"domain_scores_gemma":[0.9971114,0.0007309134,0.0001317169,0.000241395,0.001335756,0.000448769],"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":[0.00002845887,0.00001150439,0.00007241809,0.00002582103,0.000001483741,0.00008167586,0.00001388155,0.00001016468,0.0000701369,0.0007236628,0.9967781,0.002182769],"study_design_scores_gemma":[0.00001729988,0.0000116939,0.0005573504,0.00005442785,0.000002212666,0.00001994905,0.00004623012,0.00003277141,0.00009193984,0.000504275,0.9986528,0.000009083618],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009157217,0.001450129,0.0007459032,0.5186641,0.2689821,0.0005123001,0.007741161,0.001990854,0.1989977],"genre_scores_gemma":[0.003670149,0.0006173453,0.0003754376,0.637203,0.02772114,0.0003164611,0.001697019,0.0004987529,0.3279006],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.165435,"threshold_uncertainty_score":0.5534351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07584709871120789,"score_gpt":0.2949286255475425,"score_spread":0.2190815268363346,"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."}}