{"id":"W4388519956","doi":"10.5194/egusphere-2023-1508-ac1","title":"Reply on CC1","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; Context (archaeology); Weighting; Algorithm; Polynomial; Computer science; Mathematical optimization; Multivariate interpolation; Bilinear interpolation; Applied mathematics; Linear interpolation; Meteorology; Mathematics; 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":[],"consensus_categories":[],"category_scores_codex":[0.002760636,0.0009460016,0.001031264,0.00108647,0.003587369,0.004710143,0.002805603,0.02682235,0.2339205],"category_scores_gemma":[0.02332897,0.0005414238,0.001472589,0.0009087667,0.001981259,0.003777116,0.002894323,0.01971373,0.1490721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004444084,"about_ca_system_score_gemma":0.004277307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009906834,"about_ca_topic_score_gemma":0.0110644,"domain_scores_codex":[0.9974176,0.0003556196,0.0002396713,0.0004282585,0.001014221,0.0005445769],"domain_scores_gemma":[0.9937057,0.001685358,0.0002319017,0.0004274971,0.002907832,0.001041758],"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":[0.00001072201,0.00000344295,0.00002841965,0.00001274504,9.846867e-7,0.00003366328,0.000008133558,0.000003848442,0.00002174168,0.0004666304,0.9973409,0.002068952],"study_design_scores_gemma":[0.00001150208,0.000007175112,0.0001719213,0.00005054206,0.000001826605,0.0000375991,0.00004301395,0.00002502672,0.00005946503,0.0005898798,0.998993,0.000009096379],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000304965,0.001461779,0.0003643477,0.7218011,0.2092811,0.00019542,0.001442193,0.0006933992,0.06445567],"genre_scores_gemma":[0.002808123,0.0008501583,0.0002748154,0.7488415,0.05543587,0.0002560322,0.0005356306,0.0003734208,0.1906244],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2339205,"threshold_uncertainty_score":0.782542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09059712143600505,"score_gpt":0.2998971469959068,"score_spread":0.2093000255599017,"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."}}