{"id":"W4389057965","doi":"10.5194/egusphere-2023-2202-ac1","title":"Reply on RC1","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; The Scarborough Hospital","funders":"Environment and Climate Change Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Sorbent; Software deployment; Calibration; Environmental science; Atmosphere (unit); Evaporation; Sampling (signal processing); Kinetics; Inhalation; Combustion; Chemistry; Environmental chemistry; Meteorology; Computer science; Physics; Mathematics; Organic chemistry; Medicine; Statistics","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003496801,0.001202401,0.00139145,0.00130816,0.003459768,0.005170951,0.004406612,0.03426273,0.1148055],"category_scores_gemma":[0.03335448,0.0007646122,0.00175882,0.0009809284,0.002994283,0.005461066,0.003250181,0.03334885,0.0990007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004349021,"about_ca_system_score_gemma":0.004517815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007358702,"about_ca_topic_score_gemma":0.008220708,"domain_scores_codex":[0.99665,0.0006391782,0.0003643788,0.0006672809,0.0011954,0.0004838287],"domain_scores_gemma":[0.9908668,0.002994078,0.0003834079,0.00056799,0.003799575,0.001388123],"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":[0.000008136759,0.000003587781,0.00002824014,0.00001699173,0.000001728648,0.00007067866,0.00001354417,0.000004323911,0.00001760976,0.0002987275,0.9974347,0.002101661],"study_design_scores_gemma":[0.00001085263,0.000008320426,0.000142146,0.00007479655,0.000003297749,0.0001157989,0.0000798497,0.00002210056,0.00005753355,0.0005612834,0.9989119,0.00001209802],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0001573249,0.001992368,0.0001803892,0.8188685,0.161959,0.00007659731,0.0003292975,0.0002801006,0.01615637],"genre_scores_gemma":[0.001507266,0.001047202,0.0001766435,0.8858188,0.04929322,0.0001121154,0.0001325813,0.0001472733,0.06176487],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8851945,"threshold_uncertainty_score":0.3840625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1459045660895278,"score_gpt":0.4001554405300494,"score_spread":0.2542508744405216,"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."}}