{"id":"W4293243346","doi":"10.5194/essd-2022-159-ac2","title":"Reply on RC1","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); Computer science; Satellite; Data set; Data quality; Set (abstract data type); Environmental science; Geology; Database; Artificial intelligence; Engineering; World Wide Web","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":[0.004955815,0.00106516,0.001167591,0.001382238,0.003189779,0.007136998,0.003551604,0.02233368,0.1741083],"category_scores_gemma":[0.04369652,0.0006084325,0.001687102,0.001304799,0.003072493,0.005195176,0.003578046,0.02230537,0.1526684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004339552,"about_ca_system_score_gemma":0.005988467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007702248,"about_ca_topic_score_gemma":0.007835849,"domain_scores_codex":[0.9947925,0.0007552886,0.0004751282,0.001005161,0.002137048,0.0008347878],"domain_scores_gemma":[0.9882759,0.002949711,0.0003800449,0.001334881,0.005485101,0.001574335],"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":[0.000007925833,0.000003785008,0.00002547626,0.00002226466,0.000001782667,0.00002858005,0.00001452582,0.000004559286,0.00002394436,0.0007586368,0.996133,0.002975595],"study_design_scores_gemma":[0.000005074425,0.000004139418,0.0001046688,0.0000571774,0.000001612484,0.00002344299,0.00003917831,0.000006953885,0.00003764358,0.0004735156,0.9992405,0.00000604688],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002286852,0.002502191,0.0003752697,0.5678717,0.3728886,0.0001297544,0.001271017,0.0005022131,0.05423051],"genre_scores_gemma":[0.002526354,0.00196351,0.0004940049,0.6892791,0.0992679,0.0003128991,0.0007231139,0.0004535168,0.2049796],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8258917,"threshold_uncertainty_score":0.5824503,"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."}}