{"id":"W4389330123","doi":"10.5194/egusphere-2023-2038-rc1","title":"Comment on egusphere-2023-2038","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":"Health Canada; Ministère des Ressources naturelles et des Forêts; Ministère de l’Environnement, de la Lutte contre les changements climatiques, de la Faune et des Parcs; Université de Montréal; University of Victoria; University of Toronto","funders":"","keywords":"Air quality index; Environmental science; Air pollution; Pollutant; Pollution; Spatial variability; Ozone; Atmospheric sciences; Meteorology; Geography; Climatology; Physical geography; Statistics; Mathematics; Geology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001729822,0.0008813311,0.00090691,0.0009673942,0.003354698,0.003671461,0.00251255,0.02211296,0.3270113],"category_scores_gemma":[0.009307079,0.0004629049,0.001442777,0.001269464,0.001651084,0.002199594,0.002072965,0.01089699,0.2133579],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004320465,"about_ca_system_score_gemma":0.004006663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07664895,"about_ca_topic_score_gemma":0.09214158,"domain_scores_codex":[0.9985681,0.00009814706,0.00009719186,0.0001379711,0.0007726412,0.0003259268],"domain_scores_gemma":[0.9968218,0.0005465338,0.0001214246,0.0002390129,0.001714892,0.0005563887],"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":[0.00002213716,0.00000932312,0.00005801798,0.00002147378,0.000001339215,0.00005877229,0.000008517771,0.000006872615,0.00004688941,0.0003497936,0.9974059,0.002010816],"study_design_scores_gemma":[0.00001844052,0.000009809711,0.0004320749,0.00005391889,0.000002025795,0.00001506213,0.00003969543,0.00002354125,0.00007765579,0.000279077,0.9990402,0.000008525783],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000864147,0.001285255,0.0006510581,0.3583659,0.2990043,0.0008633249,0.01016452,0.002957153,0.3258443],"genre_scores_gemma":[0.002998846,0.0006216094,0.0003459982,0.3860743,0.02789064,0.0003297243,0.00222319,0.0007412389,0.5787745],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3270113,"threshold_uncertainty_score":0.9599367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.121330494021154,"score_gpt":0.3828145944196346,"score_spread":0.2614841003984805,"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."}}