{"id":"W4387423887","doi":"10.1016/j.hal.2023.102496","title":"Emerging phylogeographic perspective on the toxigenic diatom genus Pseudo-nitzschia in coastal northern European waters and gateways to eastern Arctic seas: Causes, ecological consequences and socio-economic impacts","year":2023,"lang":"en","type":"article","venue":"Harmful Algae","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Svenska Forskningsrådet Formas; Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung; European Commission; Réseau de cancérologie Rossy; Agence Nationale de la Recherche; U.S. Environmental Protection Agency","keywords":"Nitzschia; Ecology; Diatom; Biology; Arctic; Algal bloom; Climate change; Domoic acid; Geography; Oceanography; Phytoplankton","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008402383,0.0002031112,0.0001760722,0.0001112707,0.0003020175,0.0001180261,0.0001623897,0.00004089786,0.0004734797],"category_scores_gemma":[0.00008734092,0.0001437773,0.00005519333,0.0002469897,0.0005003472,0.00008950165,0.0003690021,0.0002134739,0.0004876234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001520467,"about_ca_system_score_gemma":0.00001740615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003785021,"about_ca_topic_score_gemma":0.007638288,"domain_scores_codex":[0.9983684,0.0004173833,0.0002012228,0.0004856001,0.0001273774,0.0003999563],"domain_scores_gemma":[0.9993752,0.0001692508,0.00006651002,0.0001810513,0.000007921691,0.0002000711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006987539,0.00003693901,0.9853156,0.000008623249,0.00003296946,0.00009295889,0.00356943,0.001082041,0.004103025,0.0001469649,0.00006461996,0.005477005],"study_design_scores_gemma":[0.0003446619,0.0002196233,0.9923047,0.00001215025,0.00001365111,0.00003654597,0.003965303,0.001262446,0.0002517811,0.0009630295,0.0003868426,0.0002392911],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958149,0.00002215674,0.00001456069,0.00202215,0.0001007803,0.0003004602,0.00001646157,0.00006434497,0.001644153],"genre_scores_gemma":[0.9991302,0.00009727381,0.00009325051,0.0004663014,0.0000427831,0.00002578443,0.000002320732,0.0000207147,0.0001213102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006989126,"threshold_uncertainty_score":0.6267576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01661138222708629,"score_gpt":0.2600037716014399,"score_spread":0.2433923893743536,"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."}}