{"id":"W4306884810","doi":"10.5194/egusphere-2022-802-ac2","title":"Reply on RC1","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Austrian Science Fund; European Commission; University of Victoria","keywords":"Simplicity; Pathfinder; Computer science; Climate model; Data assimilation; Simple (philosophy); Calibration; Inference; Bayesian inference; Bayesian probability; Meteorology; Artificial intelligence; Climate change; Mathematics; Geography; Geology; Statistics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.004948742,0.0009690985,0.001137545,0.001293804,0.004230141,0.005294758,0.00392057,0.03667531,0.1114664],"category_scores_gemma":[0.04472543,0.0007252379,0.001663009,0.001365064,0.002819958,0.005444434,0.002894684,0.02913351,0.1046247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00568422,"about_ca_system_score_gemma":0.007322321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01339093,"about_ca_topic_score_gemma":0.01724786,"domain_scores_codex":[0.9953346,0.0006914916,0.0004542665,0.0008127646,0.002009649,0.0006972767],"domain_scores_gemma":[0.9854605,0.004554265,0.0005515506,0.000963501,0.006676427,0.001793791],"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":[0.000005945248,0.000002356093,0.00002369379,0.00001428367,0.000001228484,0.00002994979,0.00001039985,0.00000352726,0.00001633521,0.0004854032,0.9980239,0.001383108],"study_design_scores_gemma":[0.00000879917,0.000005483899,0.0001984991,0.00005386682,0.000002891813,0.00004482844,0.00005445575,0.00001706419,0.00005944096,0.0006503887,0.9988933,0.00001103516],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001444208,0.001215043,0.000167136,0.8840284,0.09465094,0.00007197593,0.0005929778,0.0002597025,0.01886945],"genre_scores_gemma":[0.001380619,0.0006294409,0.0001695889,0.9027007,0.02752402,0.0001226611,0.0002011605,0.0001586884,0.06711309],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1114664,"threshold_uncertainty_score":0.3728924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304788931417362,"score_gpt":0.2393639384056802,"score_spread":0.2263160490915066,"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."}}