{"id":"W4386934827","doi":"10.5194/egusphere-2023-1508-cc1","title":"Comment on egusphere-2023-1508","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","funders":"Environment and Climate Change Canada","keywords":"Interpolation (computer graphics); Numerical weather prediction; Polynomial interpolation; Weighting; Context (archaeology); Mathematical optimization; Computer science; Algorithm; Polynomial; Multivariate interpolation; Linear interpolation; Applied mathematics; Meteorology; Mathematics; Bilinear interpolation; Geography; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002250128,0.00102957,0.0009588224,0.001224067,0.002935901,0.004481725,0.002349234,0.01989614,0.3337822],"category_scores_gemma":[0.01155431,0.0004970728,0.001487553,0.001322828,0.001542895,0.003171071,0.002452302,0.01058858,0.2361193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003282607,"about_ca_system_score_gemma":0.003179484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02955007,"about_ca_topic_score_gemma":0.03256927,"domain_scores_codex":[0.9980208,0.0001354679,0.0001451524,0.0001954859,0.001137592,0.0003655094],"domain_scores_gemma":[0.9961546,0.0007832571,0.0001796527,0.0003866759,0.00200642,0.0004893257],"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":[0.00003443522,0.0000104937,0.00005768674,0.00003397485,0.000001828983,0.00005679575,0.00001141133,0.00001143711,0.00008744746,0.0008806829,0.9960516,0.002762166],"study_design_scores_gemma":[0.00001631157,0.000009432314,0.0003188601,0.00005766471,0.000001661465,0.00001344203,0.00003037874,0.00002811965,0.0001071239,0.0005041123,0.998904,0.000008772386],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0008487665,0.001278286,0.001041174,0.3389464,0.3292736,0.0006442074,0.01247248,0.004390602,0.3111046],"genre_scores_gemma":[0.004778213,0.0009128947,0.0007256953,0.4215038,0.04224021,0.0004095044,0.00376182,0.001625084,0.5240427],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3337822,"threshold_uncertainty_score":0.9502789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08059557320358865,"score_gpt":0.2956036008474678,"score_spread":0.2150080276438792,"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."}}