{"id":"W4293243345","doi":"10.5194/essd-2022-159-ac3","title":"Reply on RC2","year":2022,"lang":"en","type":"peer-review","venue":"","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Marine Fisheries Service; Office of Polar Programs; Institut national des sciences de l'Univers; Natural Environment Research Council; University of California, San Diego; California Department of Fish and Wildlife; Goddard Space Flight Center; Centre National de la Recherche Scientifique; Bundesministerium für Bildung und Forschung; Sorbonne Université; National Oceanic and Atmospheric Administration; Deutsche Forschungsgemeinschaft; Fisheries and Oceans Canada; European Commission; National Science Foundation; European Space Agency; National Aeronautics and Space Administration; Centre National d’Etudes Spatiales; Commonwealth Scientific and Industrial Research Organisation; European Organization for the Exploitation of Meteorological Satellites","keywords":"Metadata; Remote sensing; Table (database); Satellite; Computer science; Data set; Environmental science; Data quality; Geography; Database; Physics; World Wide Web; Engineering; Artificial intelligence","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":[0.003816102,0.001043639,0.001028716,0.001264943,0.002951601,0.006947071,0.003066665,0.01740345,0.1923345],"category_scores_gemma":[0.0336219,0.0005167242,0.001459292,0.001118227,0.002640122,0.004913946,0.003358514,0.01862096,0.1593241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003486673,"about_ca_system_score_gemma":0.004685813,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00627362,"about_ca_topic_score_gemma":0.006996858,"domain_scores_codex":[0.9959404,0.0005877115,0.0003337737,0.0008039943,0.001709876,0.0006243098],"domain_scores_gemma":[0.9914832,0.00206397,0.0002744157,0.001000084,0.003876057,0.001302293],"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":[0.000008320254,0.000003856634,0.00002527597,0.00001970175,0.000001673973,0.0000313801,0.00001298488,0.000004929803,0.00002618023,0.0007400445,0.9959528,0.0031728],"study_design_scores_gemma":[0.000004207887,0.000003480472,0.00008509513,0.00004192639,0.000001309159,0.00002306857,0.00003528149,0.000007121802,0.00003645384,0.0004058943,0.9993513,0.000004870283],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002559074,0.002519951,0.000423893,0.4859336,0.4468146,0.0001288137,0.001260402,0.0005722855,0.06209063],"genre_scores_gemma":[0.003015468,0.002169091,0.0005175761,0.5849219,0.122397,0.000294985,0.0007788563,0.0005929629,0.2853122],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8076655,"threshold_uncertainty_score":0.6434229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0259789487362555,"score_gpt":0.2377532907319065,"score_spread":0.211774341995651,"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."}}