{"id":"W4284989288","doi":"10.5194/essd-2022-159-rc1","title":"Comment on essd-2022-159","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; Data quality; Environmental science; Set (abstract data type); Geography; Database; Engineering; World Wide Web; 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":[],"consensus_categories":[],"category_scores_codex":[0.004367535,0.0008278847,0.0008959041,0.001107749,0.002019248,0.004839025,0.002439911,0.0230262,0.06736345],"category_scores_gemma":[0.01790104,0.0004604779,0.001583263,0.001373638,0.001442913,0.002847624,0.002710986,0.01295743,0.06609864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003420675,"about_ca_system_score_gemma":0.005754168,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02571322,"about_ca_topic_score_gemma":0.02680852,"domain_scores_codex":[0.9965579,0.0002554031,0.0003701274,0.0004292779,0.001821508,0.0005656474],"domain_scores_gemma":[0.9942215,0.0013349,0.0002557482,0.0005180471,0.003053585,0.0006161471],"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":[0.00003022566,0.00001086505,0.0001692607,0.00006002646,0.000002926786,0.0001002279,0.00002451126,0.00002133413,0.0001033583,0.001749591,0.9947013,0.003026532],"study_design_scores_gemma":[0.00001127795,0.000007817246,0.0007440622,0.00009648349,0.000002623546,0.00002552604,0.00003756625,0.00001993515,0.0001009763,0.0006782812,0.9982648,0.00001070439],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.001686538,0.003066722,0.001287217,0.4487926,0.2669219,0.0004640574,0.02966238,0.00187765,0.246241],"genre_scores_gemma":[0.004854543,0.0009177092,0.0008164556,0.6972412,0.02380392,0.0005128172,0.00577751,0.0004244527,0.2656513],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.06736345,"threshold_uncertainty_score":0.2253532,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02581014058639428,"score_gpt":0.2414948567110043,"score_spread":0.2156847161246101,"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."}}