{"id":"W4296378034","doi":"10.5194/egusphere-2022-771-rc1","title":"Comment on egusphere-2022-771","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":"GHGSat (Canada)","funders":"California Air Resources Board","keywords":"Threshold limit value; Ground truth; Calibration; Plume; Methane; Pixel; Sensitivity (control systems); Remote sensing; Environmental science; Satellite; Algorithm; Magnitude (astronomy); Detection threshold; Upper and lower bounds; Scale (ratio); Computer science; Statistics; Mathematics; Geology; Meteorology; Artificial intelligence; Chemistry; Physics; Cartography; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.002091288,0.00095593,0.0007910094,0.001078712,0.00239858,0.003258961,0.002161974,0.02225199,0.2365497],"category_scores_gemma":[0.01252066,0.0004422998,0.001325613,0.0009604307,0.001447406,0.002759782,0.001969988,0.01041046,0.1506049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377617,"about_ca_system_score_gemma":0.00267449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0223585,"about_ca_topic_score_gemma":0.02383997,"domain_scores_codex":[0.9985215,0.0001328054,0.0001248203,0.0001538796,0.0007851147,0.0002818741],"domain_scores_gemma":[0.9961111,0.0009732945,0.0001956654,0.0003258978,0.001780741,0.0006132763],"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":[0.00002481906,0.00001133503,0.00007179641,0.00002863175,0.000001505291,0.00008302709,0.00001032443,0.000008424234,0.00006511305,0.0004549476,0.9967121,0.002528014],"study_design_scores_gemma":[0.00002215525,0.00001535297,0.000374513,0.00007006763,0.00000221476,0.00002783631,0.00004115679,0.00003211034,0.0001162617,0.0004091497,0.9988791,0.00001007168],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009452681,0.001265797,0.0009363533,0.4383892,0.3509381,0.0007425494,0.008105055,0.003728723,0.1949488],"genre_scores_gemma":[0.003824731,0.0008327425,0.0006118183,0.5697934,0.04906911,0.0004103137,0.002298672,0.0009126248,0.3722465],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2365497,"threshold_uncertainty_score":0.7913377,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01294640287832814,"score_gpt":0.2394664236961469,"score_spread":0.2265200208178188,"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."}}