{"id":"W4210377905","doi":"10.5194/amt-2021-36-ac2","title":"Reply on RC2","year":2021,"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":"","funders":"Eurostars; Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Sorbonne Université; Bundesministerium für Wirtschaft und Energie; University of Toronto; Université de La Réunion; Centre National d’Etudes Spatiales; Universität Bremen; Environment and Climate Change Canada; European Commission; Conseil Régional, Île-de-France; National Aeronautics and Space Administration; European Space Agency; Centre National de la Recherche Scientifique; Belgian Federal Science Policy Office; Deutsche Forschungsgemeinschaft","keywords":"Span (engineering); Smoothing; Environmental science; Remote sensing; Scalable Vector Graphics; Atmosphere (unit); Meteorology; Computer science; Physics; Statistics; Mathematics; Engineering; Geology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00297657,0.0009628843,0.001021694,0.001148034,0.003034278,0.005565553,0.003013311,0.02043713,0.2082984],"category_scores_gemma":[0.02846961,0.0005683031,0.001420244,0.0009286874,0.001962055,0.004030621,0.002923126,0.01796263,0.1723882],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00352673,"about_ca_system_score_gemma":0.003899747,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006955119,"about_ca_topic_score_gemma":0.007230577,"domain_scores_codex":[0.9969665,0.0005217213,0.0002884003,0.0005914335,0.001128993,0.0005029523],"domain_scores_gemma":[0.9929623,0.001770887,0.0002386535,0.0006421849,0.00321357,0.001172503],"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":[0.00000879551,0.000003324354,0.00002554759,0.00001394963,0.000001459564,0.00003819398,0.000009047379,0.000003572393,0.00001877503,0.0003623802,0.9974586,0.002056318],"study_design_scores_gemma":[0.000007824992,0.000005230057,0.0001231599,0.00003938102,0.000002024023,0.0000364129,0.00004284323,0.00001221173,0.00004789711,0.0003872325,0.9992894,0.000006219684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002571222,0.0018056,0.0003271033,0.6155505,0.3238702,0.0001472274,0.001011825,0.0006232606,0.05640722],"genre_scores_gemma":[0.002511777,0.001108303,0.0002635953,0.6761656,0.08065148,0.0002263468,0.0004325464,0.000419208,0.2382211],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7917016,"threshold_uncertainty_score":0.6968277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134081071662327,"score_gpt":0.2421600585019114,"score_spread":0.2287519513356787,"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."}}