{"id":"W4387801240","doi":"10.1016/j.hal.2023.102529","title":"Metabolomics and lipidomics reveal the effects of the toxic dinoflagellate Alexandrium catenella on immune cells of the blue mussel, Mytilus edulis","year":2023,"lang":"en","type":"article","venue":"Harmful Algae","topic":"Marine Toxins and Detection Methods","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; Environment and Climate Change Canada; Université du Québec à Montréal","keywords":"Mytilus; Mussel; Blue mussel; Saxitoxin; Dinoflagellate; Biology; Algal bloom; Paralytic shellfish poisoning; Shellfish poisoning; Metabolomics; Zoology; Shellfish; Aquatic animal; Ecology; Fishery; Microbiology; Toxin; Phytoplankton; Bioinformatics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000755041,0.0002083985,0.0001193442,0.0001828072,0.0001648562,0.0002544949,0.00008822978,0.0003479135,0.0008670172],"category_scores_gemma":[0.0001063883,0.0001181788,0.0001394517,0.0001038311,0.0001235589,0.0001656444,0.0002542436,0.0002370695,0.000140492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915122,"about_ca_system_score_gemma":0.0001620135,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001894898,"about_ca_topic_score_gemma":0.004358999,"domain_scores_codex":[0.9999495,0.000004853769,0.000002142551,0.0000150399,0.00001435958,0.00001422483],"domain_scores_gemma":[0.9999554,0.000006930177,0.00001166136,0.000003096761,0.00001158752,0.00001132375],"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":[0.000181147,0.00001048796,0.005806359,0.00001576855,0.000009017253,0.00003312967,0.00002368224,0.0000410323,0.9927002,0.00002806155,0.00003352726,0.001117634],"study_design_scores_gemma":[0.00002908201,0.000441486,0.5521472,0.000008522498,0.00005386056,0.0003193229,0.0003786002,0.001632931,0.4434436,0.0002097094,0.001321636,0.00001408897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990039,0.0001788803,0.0002496558,0.00006543248,0.000003891627,0.00000287826,0.0002069186,0.000006550917,0.0002817767],"genre_scores_gemma":[0.9974515,0.0002300604,0.0003613022,0.0001006632,0.000003717439,0.000006333221,0.0003390217,0.000004071389,0.001503278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001894898,"threshold_uncertainty_score":0.003767729,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005962245140625553,"score_gpt":0.2095461264782112,"score_spread":0.2035838813375856,"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."}}