{"id":"W4239872302","doi":"10.5194/acp-2021-652-rc1","title":"Comment on acp-2021-652","year":2021,"lang":"en","type":"peer-review","venue":"","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Assertion; The arctic; AERONET; Climatology; Arctic; Environmental science; Scale (ratio); Meteorology; Geography; Aerosol; Computer science; Geology; Cartography; Oceanography","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":[],"consensus_categories":[],"category_scores_codex":[0.003676178,0.0009012269,0.001145439,0.001716354,0.00437299,0.004676557,0.003450656,0.03393979,0.1119792],"category_scores_gemma":[0.04078462,0.0006789099,0.00136391,0.001928615,0.002303061,0.003396346,0.001916449,0.01964718,0.1186209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003748936,"about_ca_system_score_gemma":0.006879697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04063292,"about_ca_topic_score_gemma":0.04277456,"domain_scores_codex":[0.9957936,0.0002434946,0.0003756247,0.0004323414,0.002596242,0.0005587546],"domain_scores_gemma":[0.9819026,0.004231314,0.0006559367,0.0009683019,0.0104002,0.001841651],"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":[0.0000127037,0.00000536061,0.00004461846,0.00002433777,0.000001049897,0.00007562357,0.00001194473,0.000005831263,0.0000340031,0.0003815259,0.9980563,0.001346837],"study_design_scores_gemma":[0.00001534168,0.000009632133,0.0005612483,0.00008304341,0.000002698647,0.0000535443,0.00004722249,0.00003718936,0.00009134792,0.0005724798,0.9985151,0.00001115514],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003528299,0.001058866,0.0003456555,0.6564043,0.2607962,0.0003342487,0.0027465,0.000980683,0.07698085],"genre_scores_gemma":[0.00339278,0.001186317,0.0004725426,0.6892946,0.07196141,0.0003929194,0.001201651,0.0005411442,0.2315566],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.1119792,"threshold_uncertainty_score":0.3746077,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0202292509198004,"score_gpt":0.2715784791067087,"score_spread":0.2513492281869084,"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."}}