{"id":"W4214620579","doi":"10.5194/amt-2021-356-rc1","title":"Comment on amt-2021-356","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"3v Geomatics (Canada); University of Toronto","funders":"Eurostars; Canadian Space Agency; Max-Planck-Institut für Chemie; Serono Symposia International Foundation; European Organization for the Exploitation of Meteorological Satellites; Ministerio de Ciencia e Innovación; University of Leeds; Environment and Climate Change Canada; Belgian Federal Science Policy Office","keywords":"Span (engineering); Zenith; Differential optical absorption spectroscopy; Satellite; Ozone; Environmental science; Atmosphere (unit); Meteorology; Remote sensing; Atmospheric sciences; Mathematics; Absorption (acoustics); Physics; Geography; Optics; Engineering","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.002357358,0.000765506,0.0009085715,0.001194874,0.002398635,0.004862219,0.002345945,0.02025874,0.185169],"category_scores_gemma":[0.01653335,0.0004024566,0.001802364,0.001341326,0.001270433,0.002440378,0.001737784,0.01096864,0.1680004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003053376,"about_ca_system_score_gemma":0.003683544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01842656,"about_ca_topic_score_gemma":0.01904976,"domain_scores_codex":[0.9979231,0.0001709458,0.0001864629,0.0002306269,0.001131867,0.0003570981],"domain_scores_gemma":[0.9951762,0.00102525,0.0002785047,0.0003578156,0.002453504,0.0007087421],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002444542,0.000007857282,0.00005507148,0.00003595808,0.000001543057,0.00005762477,0.000008846455,0.000009874506,0.00006782182,0.0004514191,0.9972064,0.002073218],"study_design_scores_gemma":[0.00001666729,0.00001347231,0.0005042295,0.00007849599,0.00000299701,0.00002658015,0.00003147114,0.00003646492,0.0001040495,0.0004267178,0.9987499,0.000009098859],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"commentary","genre_scores_codex":[0.0007161393,0.001503252,0.0007136582,0.3716893,0.4319442,0.0005276853,0.01065978,0.002603281,0.1796427],"genre_scores_gemma":[0.004144973,0.001019684,0.0006769001,0.5177332,0.07560518,0.0005867935,0.003565641,0.0008073691,0.3958603],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.9976426,"threshold_uncertainty_score":0.6194519,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02970662840295929,"score_gpt":0.2628602810221299,"score_spread":0.2331536526191706,"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."}}