{"id":"W4306944686","doi":"10.5194/egusphere-2022-802-ac3","title":"Reply on RC2","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":"Pathfinder; Simplicity; Computer science; Climate model; Data assimilation; Simple (philosophy); Bayesian inference; Inference; Calibration; Range (aeronautics); Bayesian probability; Meteorology; Artificial intelligence; Climate change; Geography; Geology; Mathematics; Engineering; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004354598,0.0009469602,0.001009253,0.001202433,0.003811889,0.005196761,0.003498503,0.03194869,0.1129534],"category_scores_gemma":[0.0389807,0.0006405208,0.001593387,0.001210127,0.002580004,0.005089317,0.002696597,0.0257697,0.1057761],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004969306,"about_ca_system_score_gemma":0.006229691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01218548,"about_ca_topic_score_gemma":0.01572355,"domain_scores_codex":[0.9959016,0.0005825366,0.0003695194,0.0007153071,0.001830162,0.0006007747],"domain_scores_gemma":[0.9880518,0.00363042,0.0004422261,0.0008541212,0.005464063,0.001557381],"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":[0.000006638441,0.000002494435,0.00002374739,0.00001314557,0.00000130216,0.00003056529,0.000009049001,0.000003877708,0.00001809489,0.0005069603,0.9978916,0.00149249],"study_design_scores_gemma":[0.000007897218,0.000004686436,0.0001716169,0.00003996004,0.000002517427,0.00003844499,0.0000440782,0.00001691505,0.00005944496,0.0005799338,0.9990255,0.000008959624],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.000170208,0.001324761,0.0002036517,0.8513517,0.123168,0.00007838037,0.0006697599,0.0003065025,0.02272697],"genre_scores_gemma":[0.001668601,0.0006870672,0.000191358,0.8731815,0.03496731,0.0001280642,0.0002246845,0.0002011774,0.08875015],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8870466,"threshold_uncertainty_score":0.3778669,"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."}}