{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004126649,0.0001073817,0.0001340413,0.001302141,0.0003754608,0.0007234376,0.000143555,0.0001883842,0.001106223],"category_scores_gemma":[0.0005695829,0.00007543623,0.0001467661,0.001870727,0.0004569388,0.0004332509,0.000436542,0.0001979783,0.00008307947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004669101,"about_ca_system_score_gemma":0.0003783217,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02772544,"about_ca_topic_score_gemma":0.06932504,"domain_scores_codex":[0.9998782,0.0000301329,0.000008915241,0.0000445867,0.00001396377,0.00002422801],"domain_scores_gemma":[0.999649,0.00007987945,0.0001290616,0.00001934945,0.0000709384,0.00005176568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004123216,0.000007961708,0.9828328,0.00004473631,0.00004037039,0.0002159268,0.003193927,0.0001392702,0.002132839,0.0004114376,0.0001100834,0.01082928],"study_design_scores_gemma":[3.734377e-7,0.000006966048,0.99708,0.00001566387,0.000007916039,0.00008194413,0.001819516,0.000152366,0.00004253245,0.00005346755,0.0007373883,0.000001728101],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976025,0.0007937455,0.0001511851,0.0001188221,0.000002598918,0.000002402666,0.0001874422,0.000001873262,0.001139356],"genre_scores_gemma":[0.9986352,0.0006816444,0.0002395692,0.00002729611,0.000004698941,0.000002084312,0.0002312928,0.00000113983,0.0001771684],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02772544,"threshold_uncertainty_score":0.0551281,"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."}}