{"id":"W2012116092","doi":"10.1080/01431160500075857","title":"Detection of intense plankton blooms using the 709 nm band of the MERIS imaging spectrometer","year":2005,"lang":"en","type":"article","venue":"International Journal of Remote Sensing","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":345,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Canadian Space Agency; European Space Agency; Australian Government","keywords":"Radiance; Imaging spectrometer; Remote sensing; Environmental science; Satellite; Spectrometer; Ocean color; Oceanography; Geology; Physics; Optics; Astronomy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0001684755,0.0002199054,0.0001274038,0.0004711894,0.0001848744,0.000201953,0.0001099466,0.0001684446,0.0007729218],"category_scores_gemma":[0.0001532343,0.0001169276,0.000100387,0.0002486671,0.00009626833,0.0002311939,0.0001557355,0.0001290653,0.0002428202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001971454,"about_ca_system_score_gemma":0.00009059076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002489729,"about_ca_topic_score_gemma":0.008906887,"domain_scores_codex":[0.9999291,0.000009863505,0.000002689085,0.000018375,0.00003137615,0.000008649318],"domain_scores_gemma":[0.9999149,0.00001716455,0.00001920867,0.000005707019,0.00002812337,0.00001485512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0004991099,0.0000741671,0.1566141,0.00008644772,0.00007206093,0.0001720005,0.0002090281,0.002028255,0.7878381,0.0004157553,0.002253478,0.04973756],"study_design_scores_gemma":[0.00004426399,0.0002068473,0.65936,0.00001945359,0.00005649708,0.0005630606,0.0003032736,0.03396174,0.3006264,0.0003433491,0.004467385,0.00004781567],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910226,0.0001492447,0.003525173,0.00007673263,0.00001266728,0.000007856499,0.0004180585,0.0002384441,0.004549239],"genre_scores_gemma":[0.9871283,0.0001460299,0.01085141,0.00004225272,0.000009326971,0.000006454322,0.0003771333,0.00001691349,0.0014222],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002489729,"threshold_uncertainty_score":0.004950523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00955445938651113,"score_gpt":0.2156044123818768,"score_spread":0.2060499529953657,"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."}}