{"id":"W4383535858","doi":"10.5194/egusphere-2023-589-ac3","title":"Reply on RC2","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emulation; Environmental science; Climatology; Replicate; Meteorology; Climate model; Water content; Climate change; Computer science; Statistics; Geography; Mathematics; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003471981,0.001081344,0.001177044,0.001175583,0.00338079,0.005211266,0.003871562,0.03041718,0.1304539],"category_scores_gemma":[0.03277539,0.0006493017,0.001746572,0.0009925026,0.00257288,0.004836813,0.002922274,0.02752043,0.1087209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004158469,"about_ca_system_score_gemma":0.00432865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008799726,"about_ca_topic_score_gemma":0.009275377,"domain_scores_codex":[0.9967675,0.0005894044,0.0003045085,0.0006726361,0.001133676,0.0005321796],"domain_scores_gemma":[0.9921118,0.002664744,0.000293847,0.0006279291,0.003171868,0.00112976],"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":[0.000009150495,0.000003286324,0.00002658127,0.00001418609,0.000001756026,0.00004578107,0.00001077548,0.000004802523,0.00001825589,0.0004512775,0.9975799,0.001834065],"study_design_scores_gemma":[0.00001066231,0.000006560961,0.0001469951,0.00005692746,0.000003242019,0.00005981362,0.00005433812,0.00002438395,0.00006803741,0.0006430267,0.9989158,0.00001037155],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0001986227,0.001715336,0.0002316622,0.7930392,0.1790396,0.00008403461,0.0006186316,0.0003480783,0.02472477],"genre_scores_gemma":[0.001949726,0.0008945731,0.0001845224,0.8624089,0.04993423,0.0001485265,0.0001955187,0.0002191925,0.08406491],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1304539,"threshold_uncertainty_score":0.4364117,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06844014411208536,"score_gpt":0.3141021511982144,"score_spread":0.245662007086129,"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."}}