{"id":"W4293243285","doi":"10.5194/essd-2022-159-rc3","title":"Reply on AC2","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":"Université du Québec à Rimouski","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; Database; Geography; Physics; Artificial intelligence; Engineering; World Wide Web","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":[0.002400865,0.0007086945,0.0007048993,0.0009634161,0.00231046,0.004757062,0.001961838,0.01222176,0.243904],"category_scores_gemma":[0.02085038,0.0003808896,0.0009970659,0.0008498058,0.001568222,0.003860478,0.002503945,0.01284776,0.1554784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00236281,"about_ca_system_score_gemma":0.002728564,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004432692,"about_ca_topic_score_gemma":0.005724786,"domain_scores_codex":[0.9979056,0.0003243324,0.0002001696,0.0004126766,0.0007947407,0.0003624676],"domain_scores_gemma":[0.9946281,0.001522873,0.0001709638,0.000511523,0.002377318,0.000789156],"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":[0.00001109155,0.000003630608,0.00003947233,0.00001700635,0.000001165309,0.00003595817,0.00001125571,0.000004013339,0.00002510792,0.0007272342,0.995339,0.0037849],"study_design_scores_gemma":[0.000005209522,0.000003609829,0.0001093549,0.00004342965,0.000001121564,0.00002774563,0.00003957464,0.000008770005,0.00003813253,0.0004220724,0.999297,0.000004005177],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0003931987,0.002321665,0.0004700609,0.5034845,0.3935075,0.0001476186,0.001825157,0.0005908206,0.09725946],"genre_scores_gemma":[0.004331731,0.001825644,0.0004577815,0.5233594,0.09065469,0.0002737703,0.000910488,0.0004457429,0.3777407],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.243904,"threshold_uncertainty_score":0.8159402,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02663631110493871,"score_gpt":0.2397081540937758,"score_spread":0.2130718429888371,"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."}}