{"id":"W4293243290","doi":"10.5194/essd-2022-159-ac1","title":"Reply on CC1","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; Environmental science; Satellite; Data set; Geography; Database; Physics; 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":[0.006167007,0.00100376,0.001156666,0.001593229,0.003134292,0.004994267,0.002962147,0.02739334,0.06780357],"category_scores_gemma":[0.04854404,0.0005634932,0.001330935,0.001436633,0.002869798,0.004508759,0.002724646,0.02109888,0.05652013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004250912,"about_ca_system_score_gemma":0.006077113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009432863,"about_ca_topic_score_gemma":0.01051559,"domain_scores_codex":[0.9949915,0.0006837409,0.0006025812,0.0008169166,0.002199811,0.000705494],"domain_scores_gemma":[0.9809458,0.00551552,0.0005938956,0.001279546,0.009259381,0.002405858],"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":[0.000007349103,0.000002702903,0.00003680479,0.00001851786,0.000001257036,0.00003362748,0.000009539487,0.000004541619,0.00001964999,0.0004184583,0.9977977,0.001649889],"study_design_scores_gemma":[0.000009339006,0.000006083809,0.0002682198,0.00007515952,0.000002614094,0.000053294,0.00004824069,0.00001891828,0.00005953659,0.0006167658,0.9988282,0.00001361848],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0002000794,0.001502572,0.0002261425,0.69153,0.2894625,0.00008890859,0.000628478,0.0002280451,0.01613326],"genre_scores_gemma":[0.002359059,0.001317215,0.0003297566,0.8141767,0.1118455,0.0002265576,0.0003664822,0.0002155614,0.06916305],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.06780357,"threshold_uncertainty_score":0.2268255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02593806956207277,"score_gpt":0.2378790194191243,"score_spread":0.2119409498570515,"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."}}