{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007920517,0.0001763397,0.000249786,0.0000298724,0.0002206502,0.00002100944,0.0005216936,0.00007570804,0.0001553432],"category_scores_gemma":[0.0001903801,0.00008626707,0.0001698678,0.0005369915,0.000447809,0.00004056052,0.0007442459,0.0002333706,0.00004462086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003240649,"about_ca_system_score_gemma":0.00001340814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003485065,"about_ca_topic_score_gemma":0.0000340749,"domain_scores_codex":[0.998549,0.0003678355,0.0003105834,0.0002664733,0.0002620558,0.0002439828],"domain_scores_gemma":[0.9984118,0.0005792948,0.0002382891,0.0007080685,0.00001189765,0.00005069501],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000675101,0.00005183447,0.001978716,0.00007588582,0.0000404153,0.000001182266,0.0007477975,0.002372107,0.9788578,0.00008243158,0.003217177,0.01250712],"study_design_scores_gemma":[0.0004381438,0.00008088593,0.09866092,0.00002491656,0.00007088324,0.000005460759,0.00007981983,0.001237366,0.8906823,0.0002817769,0.008314318,0.0001232575],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952158,0.00009676332,0.00006171139,0.0005073276,0.001265938,0.0004840404,0.00001047649,0.00002269315,0.002335296],"genre_scores_gemma":[0.9930234,0.0004534214,0.0002239722,0.0003382894,0.00007239034,0.00001686414,7.691355e-7,0.00002335266,0.005847525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0966822,"threshold_uncertainty_score":0.3517869,"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."}}