{"id":"W4296754982","doi":"10.5194/egusphere-2022-802-cec1","title":"Comment on egusphere-2022-802","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; Inference; Simple (philosophy); Range (aeronautics); Bayesian inference; Calibration; Data assimilation; Meteorology; Bayesian probability; Artificial intelligence; Climate change; Geography; Engineering; Mathematics; 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":[0.003169775,0.0007947686,0.000841339,0.001363227,0.003427496,0.004779818,0.002284942,0.02191476,0.2702656],"category_scores_gemma":[0.02304274,0.0004798303,0.0013254,0.00150959,0.00163354,0.004078434,0.002305923,0.01130401,0.200939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003517345,"about_ca_system_score_gemma":0.004931537,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02767053,"about_ca_topic_score_gemma":0.03527937,"domain_scores_codex":[0.9971252,0.0001862385,0.0002037453,0.0002857619,0.001744093,0.0004549121],"domain_scores_gemma":[0.9914267,0.001675447,0.0003039711,0.000617506,0.004995219,0.000981197],"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":[0.00001022412,0.000005034984,0.00003263947,0.00002448207,7.640115e-7,0.00003980944,0.000008826903,0.000004751011,0.00003740935,0.0007556087,0.9971235,0.001956848],"study_design_scores_gemma":[0.000009281252,0.000005152525,0.0002722289,0.00003893856,0.000001245784,0.00001467909,0.00002589137,0.00001483363,0.00005830377,0.0004180064,0.9991353,0.000006086266],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0005738741,0.00125457,0.0006937433,0.4627155,0.2446593,0.0005303592,0.006602416,0.002528441,0.2804417],"genre_scores_gemma":[0.002503397,0.0006405121,0.0003500083,0.4154055,0.02740905,0.0003232288,0.001625653,0.0008916892,0.5508509],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2702656,"threshold_uncertainty_score":0.9041286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309371540502609,"score_gpt":0.2390826422484148,"score_spread":0.2259889268433887,"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."}}