{"id":"W4224309091","doi":"10.5194/acp-2022-179-rc1","title":"Comment on acp-2022-179","year":2022,"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":"University of British Columbia","funders":"","keywords":"Aerosol; Biomass burning; Environmental science; Monsoon; Atmospheric sciences; Environmental chemistry; Chemistry; Meteorology; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009500774,0.0002889308,0.0003807675,0.00002879731,0.0002933723,0.00002346882,0.000550118,0.0001024445,0.1344415],"category_scores_gemma":[0.0001018085,0.0002492627,0.0001763237,0.0001959219,0.00006582603,0.00003632622,0.0008874537,0.0007593681,0.002554358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000676918,"about_ca_system_score_gemma":0.00001323459,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001061168,"about_ca_topic_score_gemma":0.0000219858,"domain_scores_codex":[0.9975428,0.0001658562,0.0003506033,0.0005308618,0.001057651,0.0003522565],"domain_scores_gemma":[0.9989535,0.00014984,0.0001774136,0.0005948117,0.000004691144,0.0001197423],"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":[0.000002168858,0.00006734346,0.0000641648,0.0001843962,0.00001133977,0.000007065323,0.00003525113,0.00003596615,0.0000010469,0.00007300456,0.9634382,0.03608006],"study_design_scores_gemma":[0.00006865077,0.0001253404,0.00004634769,0.0004147227,0.0000327373,0.000003273519,0.00003009117,0.00003082073,0.00001287943,0.00007911611,0.998854,0.0003020024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005481801,0.002704803,0.0000622291,0.3658474,0.006443083,0.0006247238,0.0001832766,0.000210738,0.6238689],"genre_scores_gemma":[0.000100828,0.001891771,0.0004727292,0.07011746,0.0004945849,0.0001588691,0.0005340892,0.00005336669,0.9261763],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.3023074,"threshold_uncertainty_score":0.9999959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06491573729880916,"score_gpt":0.3210358323824656,"score_spread":0.2561200950836565,"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."}}