{"id":"W7081565039","doi":"10.48448/kt08-1e56","title":"In the Search of Sublethal Biomarkers: Metabolomic and Lipidomic Profiling of Arctic Copepods Facing Ocean Acidification and Pyrene Pollution","year":2025,"lang":"en","type":"other","venue":"Underline Science Inc.","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec; Université du Québec à Rimouski","funders":"","keywords":"Metabolome; Pyrene; Arctic; Metabolomics; Copepod; Pollution; Biomonitoring; Zooplankton","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":[0.0001693959,0.0003413811,0.0003366203,0.0003690325,0.0002398142,0.0005071732,0.000116825,0.0004127715,0.000550208],"category_scores_gemma":[0.0001595723,0.000139552,0.0003657363,0.0004420809,0.0002405403,0.00031019,0.000376504,0.0004713997,0.0001344257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666031,"about_ca_system_score_gemma":0.0002473902,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001348439,"about_ca_topic_score_gemma":0.002574785,"domain_scores_codex":[0.999899,0.0000122594,0.000005646969,0.00003980507,0.000025974,0.00001736565],"domain_scores_gemma":[0.9998947,0.00001451663,0.00003708788,0.000007027341,0.00002561902,0.00002104634],"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":[0.0002832011,0.00002622373,0.01878889,0.0001647788,0.00007525009,0.00008212757,0.0001108483,0.0002169549,0.9758465,0.00004846428,0.00006624414,0.004290486],"study_design_scores_gemma":[0.0000193197,0.001060848,0.8008664,0.00008629898,0.000290987,0.0005011977,0.001159988,0.002292734,0.1875624,0.0005036616,0.005595602,0.00006052957],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925983,0.002408359,0.00239411,0.00015215,0.00003662725,0.00002672742,0.001691128,0.00001912702,0.0006734412],"genre_scores_gemma":[0.9819273,0.004039933,0.006768177,0.0006111158,0.00004785494,0.00009246088,0.0038759,0.00001906399,0.00261819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001348439,"threshold_uncertainty_score":0.002681196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01830457901298702,"score_gpt":0.2724166475605526,"score_spread":0.2541120685475656,"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."}}