{"id":"W4385899410","doi":"10.5194/essd-15-3529-2023","title":"The Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) dataset","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Oceanography; Sampling (signal processing); Mediterranean sea; Environmental science; Seawater; Coastal sea; Mediterranean climate; Remote sensing; Meteorology; Climatology; Geography; Geology; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003960007,0.0001379515,0.0002171909,0.00007157697,0.0007527755,0.000259019,0.002444931,0.00003451666,0.00008078405],"category_scores_gemma":[0.0003005227,0.00009011658,0.0000244854,0.00190276,0.0004307341,0.001321531,0.0004589308,0.00009194972,0.0004540066],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002476481,"about_ca_system_score_gemma":0.0002626179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01070493,"about_ca_topic_score_gemma":0.05084372,"domain_scores_codex":[0.9974689,0.0001374389,0.0004661049,0.0005494902,0.0008706077,0.0005074914],"domain_scores_gemma":[0.9975268,0.0003605857,0.0002588115,0.001628786,0.0001163514,0.0001086839],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008711208,0.00002017563,0.8512606,0.0003462708,0.00003379542,0.00004199995,0.0002741927,0.002104132,0.0002516423,0.001757534,0.1181332,0.02568932],"study_design_scores_gemma":[0.0001998857,0.0001242814,0.5171601,0.00006732579,0.000007145518,0.00003651911,0.002602315,0.2502016,0.0001095199,0.00003737434,0.229215,0.0002389162],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8582426,0.0001495397,0.0001794053,0.000710344,0.002581444,0.0008550538,0.1297101,0.0002560614,0.007315484],"genre_scores_gemma":[0.9791882,0.00004424825,0.0001255186,0.00003553506,0.0001130023,9.596794e-7,0.02014552,0.000003411573,0.0003435762],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3341005,"threshold_uncertainty_score":0.9958829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06279683189249886,"score_gpt":0.262081658280077,"score_spread":0.1992848263875781,"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."}}