{"id":"W4308241582","doi":"10.5194/essd-2022-159-ac5","title":"Reply on RC3","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; Deutsche Forschungsgemeinschaft; National Oceanic and Atmospheric Administration; Centre National de la Recherche Scientifique; Bundesministerium für Bildung und Forschung; Sorbonne Université; 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","keywords":"Remote sensing; Metadata; SeaWiFS; Computer science; Satellite; Environmental science; Geography; Physics; Chemistry; Phytoplankton; 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":[0.003665469,0.0009803188,0.000994602,0.001348435,0.002861548,0.006086193,0.003240775,0.01999247,0.2177067],"category_scores_gemma":[0.03186981,0.0005510745,0.001615254,0.001149125,0.002313918,0.004589477,0.003477051,0.01832419,0.1926222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003751256,"about_ca_system_score_gemma":0.004405175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00821071,"about_ca_topic_score_gemma":0.00898497,"domain_scores_codex":[0.996587,0.00053327,0.0002981857,0.0006662376,0.001362372,0.0005527875],"domain_scores_gemma":[0.9912415,0.002090507,0.0002991249,0.0008625168,0.004220378,0.001286034],"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":[0.000006652206,0.000002527136,0.00001840143,0.00001438619,0.000001214119,0.00002284077,0.000009723534,0.000003313915,0.00001965495,0.0004346967,0.9972875,0.00217915],"study_design_scores_gemma":[0.000005149085,0.00000387222,0.00008590121,0.00004351356,0.000001488634,0.00002214036,0.00003619058,0.000007775725,0.00003831466,0.00038289,0.9993677,0.000005198837],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0001979215,0.002062668,0.0003744585,0.6231508,0.3181303,0.0001164203,0.001457956,0.0006308306,0.05387857],"genre_scores_gemma":[0.002090314,0.001314175,0.000356004,0.7025077,0.07475194,0.0002106212,0.0006167713,0.0004898995,0.2176626],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7822933,"threshold_uncertainty_score":0.7283013,"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."}}