{"id":"W4281656833","doi":"10.5194/acp-2022-120-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":"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; Inversion (geology); Prior probability; Meteorology; Carbon monoxide; Carbon flux; Mixing ratio; Carbon dioxide; Biomass burning; Combustion; Descent (aeronautics); Climatology; Ecosystem; Statistics; Chemistry; Mathematics; Geography; Aerosol; 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":[0.002077264,0.0009790401,0.0009815304,0.0009855143,0.002392558,0.004512429,0.00255948,0.01697263,0.2096619],"category_scores_gemma":[0.02364978,0.0004203956,0.0013115,0.0007792287,0.001810591,0.003134648,0.00244796,0.0156756,0.1545509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003116524,"about_ca_system_score_gemma":0.002733602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004007003,"about_ca_topic_score_gemma":0.004127136,"domain_scores_codex":[0.9976612,0.0003905647,0.0002434424,0.0005064494,0.0007731485,0.0004251366],"domain_scores_gemma":[0.9957546,0.001148582,0.00018464,0.0004925237,0.001775784,0.0006439385],"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":[0.00001624704,0.000005043726,0.00004053608,0.00002712043,0.000002594867,0.00007889505,0.00001354529,0.000007243549,0.00003957562,0.0009200314,0.9943184,0.004530828],"study_design_scores_gemma":[0.000008006678,0.000005739445,0.0001232017,0.00005752825,0.000002286918,0.00006939913,0.00003542273,0.0000143122,0.00007332665,0.0005423351,0.9990627,0.000005838647],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0003723745,0.003636306,0.0004960638,0.5686231,0.3517084,0.0001469905,0.00131563,0.0005931367,0.07310796],"genre_scores_gemma":[0.006135616,0.003164438,0.0004922089,0.5311828,0.1323034,0.0003278968,0.0008497699,0.0005434382,0.3250004],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2096619,"threshold_uncertainty_score":0.701389,"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."}}