{"id":"W4315607161","doi":"10.5194/acp-2022-800-rc1","title":"Comment on acp-2022-800","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Aerosol; Beijing; Particulates; Environmental science; Box model; Atmospheric sciences; Chemistry; Environmental chemistry; Meteorology; Climatology; China; Geography; Physics","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":[0.001722933,0.001218156,0.001034412,0.0010053,0.00272726,0.003433999,0.003040683,0.03084334,0.141757],"category_scores_gemma":[0.01595658,0.0005233106,0.001257088,0.001352767,0.002274259,0.002410793,0.001743615,0.0158521,0.1548823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003731515,"about_ca_system_score_gemma":0.002667004,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01559291,"about_ca_topic_score_gemma":0.01356911,"domain_scores_codex":[0.9982107,0.0001557326,0.0001983824,0.0002851466,0.0008709399,0.0002791592],"domain_scores_gemma":[0.9965782,0.001055118,0.0001879945,0.000419691,0.001301274,0.000457878],"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":[0.00003689682,0.00002008145,0.0001201201,0.00005145904,0.00000338578,0.0003242198,0.00002590291,0.00002246148,0.0001316049,0.000784537,0.9934072,0.005072173],"study_design_scores_gemma":[0.00001461771,0.00001510247,0.000455174,0.00009514461,0.000002476126,0.00007724387,0.00004077926,0.00005180031,0.00009351164,0.0005802998,0.998565,0.000008805259],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001088098,0.002211773,0.0008780605,0.4292594,0.3516921,0.0008074763,0.002825152,0.002308234,0.2089298],"genre_scores_gemma":[0.004959108,0.001562016,0.0006129089,0.5496022,0.08923028,0.0006921759,0.0008413307,0.0003986452,0.3521014],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.141757,"threshold_uncertainty_score":0.4742244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09073303858139893,"score_gpt":0.3389104132841083,"score_spread":0.2481773747027093,"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."}}