{"id":"W3041044591","doi":"10.1016/j.marpolbul.2020.111426","title":"Corrigendum to “A ribosomal sequence-based oil sensitivity index for phytoplankton groups” [Mar. Pollut. Bull. vol. 151, February 2020, 110798]","year":2020,"lang":"en","type":"erratum","venue":"Marine Pollution Bulletin","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mount Allison University; Dalhousie University","funders":"","keywords":"Index (typography); Oceanography; Sensitivity (control systems); Ribosomal RNA; Sequence (biology); Biology; Environmental science; Geology; Genetics; Engineering; Computer science; World Wide Web; Gene","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001844246,0.003299186,0.002460703,0.005469111,0.003154526,0.003493571,0.003776221,0.004905918,0.2008496],"category_scores_gemma":[0.02016167,0.001733659,0.002571429,0.003962067,0.001577898,0.002284352,0.002794338,0.005955093,0.1931293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003531512,"about_ca_system_score_gemma":0.004177877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05961303,"about_ca_topic_score_gemma":0.07428972,"domain_scores_codex":[0.9975824,0.0003408571,0.0004223633,0.0003328815,0.001074321,0.0002471177],"domain_scores_gemma":[0.9849015,0.001996499,0.000884507,0.0007538257,0.01035568,0.001107972],"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":[0.00001731407,0.000007470603,0.00002838271,0.00005835941,0.000003722416,0.00003530625,0.000002632079,0.00002196562,0.00003496661,0.00008981773,0.9975236,0.002176402],"study_design_scores_gemma":[0.00004861771,0.00004418611,0.002567856,0.0002238572,0.00002530488,0.00009501679,0.00003542026,0.0002123504,0.0002937175,0.0007631324,0.9956414,0.00004930361],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.0001172846,0.001353989,0.0006090674,0.03148375,0.9485908,0.0000812204,0.006291865,0.0009209654,0.01055112],"genre_scores_gemma":[0.004130095,0.006908509,0.003462676,0.0795987,0.2130703,0.0005014059,0.02361671,0.001867865,0.6668437],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.2008496,"threshold_uncertainty_score":0.6719089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01775221579247702,"score_gpt":0.2097939695142828,"score_spread":0.1920417537218058,"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."}}