{"id":"W4320915667","doi":"10.5194/essd-2022-442-rc1","title":"Comment on essd-2022-442","year":2023,"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":"Environment and Climate Change Canada","funders":"","keywords":"Blank; Mosaic; Emission inventory; Environmental science; Air quality index; High resolution; Air pollutants; Meteorology; Atmospheric research; Pollutant; Air pollution; Atmospheric sciences; Geography; Remote sensing; Geology; Engineering; Chemistry","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":[0.002267571,0.0008524899,0.0009967558,0.0009832208,0.002657886,0.004318256,0.002662567,0.03087118,0.2224319],"category_scores_gemma":[0.0111109,0.0005234822,0.001702122,0.001441037,0.00138975,0.002465912,0.002185035,0.01270558,0.1790828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003346216,"about_ca_system_score_gemma":0.003670651,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02714947,"about_ca_topic_score_gemma":0.03752819,"domain_scores_codex":[0.9980044,0.00015136,0.0001761243,0.0002262972,0.001011421,0.0004305603],"domain_scores_gemma":[0.9969949,0.0008136856,0.000120356,0.0002275419,0.001369695,0.0004738588],"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":[0.00002683333,0.00001100164,0.0000685566,0.0000369241,0.000001544599,0.00006232798,0.000008453037,0.00001135825,0.00005134103,0.0007988518,0.9967273,0.002195487],"study_design_scores_gemma":[0.0000219357,0.00001190142,0.0005558621,0.00006412769,0.000002460916,0.00001791518,0.00003408418,0.00003090717,0.00007431015,0.0006420813,0.9985355,0.000008895528],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0009200328,0.001607631,0.0006167858,0.4083052,0.1951071,0.0005617011,0.01492005,0.001958883,0.3760026],"genre_scores_gemma":[0.002541211,0.000415996,0.0002354299,0.5036734,0.01437231,0.0003358035,0.002297897,0.0003089912,0.475819],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.2224319,"threshold_uncertainty_score":0.7441088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801017967214741,"score_gpt":0.2552632920511591,"score_spread":0.2372531123790117,"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."}}