{"id":"W4388520335","doi":"10.5194/egusphere-2023-1508-ac2","title":"Reply on RC1","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; Mathematical optimization; Polynomial; Algorithm; Computer science; Advection; Applied mathematics; Multivariate interpolation; Linear interpolation; 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":[],"consensus_categories":[],"category_scores_codex":[0.004045051,0.001131668,0.001288274,0.001199412,0.004333653,0.005963903,0.004229764,0.03804471,0.1341037],"category_scores_gemma":[0.03490181,0.0007384701,0.001814216,0.00103948,0.002932317,0.005292104,0.003590164,0.03231705,0.1114758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005467693,"about_ca_system_score_gemma":0.005629889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0110877,"about_ca_topic_score_gemma":0.01084302,"domain_scores_codex":[0.9961217,0.000644663,0.0003643619,0.0007512952,0.001406064,0.0007119594],"domain_scores_gemma":[0.9913011,0.002704506,0.0003449005,0.0007032605,0.003633218,0.001313014],"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":[0.000009370842,0.000003497763,0.00002628687,0.00001492478,0.000001702834,0.00004403301,0.00001405132,0.000004132526,0.00002196404,0.0005343573,0.9975236,0.001802053],"study_design_scores_gemma":[0.00001062363,0.000006947163,0.0001456898,0.00005751335,0.000002933232,0.00005180298,0.00006298259,0.00002046571,0.00006747696,0.0006839227,0.9988783,0.00001123111],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0001820992,0.001457201,0.0002146955,0.8370191,0.137051,0.00008826664,0.0005893639,0.0003278406,0.02307037],"genre_scores_gemma":[0.00170537,0.0007056423,0.0001677179,0.8916134,0.03779452,0.0001370241,0.0001901996,0.0001877205,0.06749851],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1341037,"threshold_uncertainty_score":0.4486217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09122432042438189,"score_gpt":0.3000852633541006,"score_spread":0.2088609429297187,"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."}}