{"id":"W4226049472","doi":"10.5194/acp-2022-120-rc1","title":"Comment on acp-2022-120","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":"Eurostars; Australian Research Council; Canadian Space Agency; Centre National de la Recherche Scientifique; Ministry of Business, Innovation and Employment; Université de La Réunion; Centre National d’Etudes Spatiales; California Institute of Technology; European Commission; Canadian Foundation for Climate and Atmospheric Sciences; Ontario Innovation Trust; Government of Canada; Conseil Régional, Île-de-France; National Aeronautics and Space Administration; Sorbonne Université; Nova Scotia Research Innovation Trust","keywords":"Environmental science; Atmospheric sciences; Prior probability; Inversion (geology); Meteorology; Carbon monoxide; Carbon flux; Combustion; Carbon dioxide; Biomass burning; Mixing ratio; Climatology; Ecosystem; Chemistry; Statistics; Mathematics; Aerosol; Geography; Geology; Bayesian probability","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":[0.00200124,0.001072306,0.0009130494,0.001100094,0.002486867,0.00490632,0.002069692,0.02169727,0.09144603],"category_scores_gemma":[0.01241952,0.0004794583,0.001480088,0.001819894,0.001446947,0.002813995,0.001477523,0.01670583,0.07922453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004091972,"about_ca_system_score_gemma":0.006051289,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0555251,"about_ca_topic_score_gemma":0.04130521,"domain_scores_codex":[0.9979123,0.0001350742,0.0001747303,0.000267514,0.001102804,0.0004075197],"domain_scores_gemma":[0.9962274,0.0007010781,0.0001902774,0.0003462372,0.002129871,0.0004052154],"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":[0.00004169972,0.00001467569,0.0001323226,0.00005628374,0.00000333506,0.00009789313,0.00001405009,0.0000329204,0.0001239195,0.001464371,0.9944385,0.003579999],"study_design_scores_gemma":[0.00001596486,0.000008131821,0.000990083,0.00007447658,0.000003935309,0.00003062532,0.00002759973,0.00005070518,0.0001353672,0.0008017003,0.9978461,0.00001531254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001311774,0.003803232,0.001083102,0.3791006,0.3222059,0.0006651201,0.02080733,0.002173015,0.26885],"genre_scores_gemma":[0.009522586,0.002038708,0.001177467,0.5940571,0.05700848,0.0009590827,0.00568923,0.0007912432,0.3287561],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.09144603,"threshold_uncertainty_score":0.3059174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387565045910473,"score_gpt":0.2424232271349653,"score_spread":0.2285475766758605,"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."}}