{"id":"W4390977030","doi":"10.1016/j.scitotenv.2024.170167","title":"Using a metabolomics approach to investigate the sensitivity of a potential Arctic-invader and its Arctic sister-species to marine heatwaves and traditional harvesting disturbances","year":2024,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Fisheries and Oceans Canada; Mitacs; Ipsen; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Rimouski; Universidade de Aveiro","keywords":"Biology; Temperate climate; Marine invertebrates; Threatened species; Ecology; Arctic; Zoology; Habitat","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":[0.0001664947,0.0005596197,0.0004449096,0.0006769955,0.0003742237,0.0005912622,0.000175739,0.0005531234,0.0009858354],"category_scores_gemma":[0.000173832,0.0001680886,0.0004306907,0.0006526706,0.0002203201,0.0003518947,0.0004560704,0.0005227958,0.0002666807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002102629,"about_ca_system_score_gemma":0.0002623889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001709165,"about_ca_topic_score_gemma":0.003620984,"domain_scores_codex":[0.9998525,0.00001381294,0.000007308211,0.0000751019,0.00002573065,0.0000254741],"domain_scores_gemma":[0.9998723,0.00001330938,0.00004371252,0.000008946258,0.00003503046,0.00002659168],"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":[0.0003661343,0.0001199873,0.01558107,0.0001678817,0.0001001713,0.00008317359,0.0001389229,0.0001922826,0.9778204,0.00006303276,0.00005530425,0.00531172],"study_design_scores_gemma":[0.00002738219,0.003079627,0.818579,0.00005906673,0.0003929808,0.0007724202,0.0009727092,0.002993305,0.1675185,0.0005688814,0.004968214,0.00006794144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919198,0.001323167,0.003360934,0.00007477297,0.00002612731,0.00007183985,0.001872595,0.00004100235,0.001309677],"genre_scores_gemma":[0.9794945,0.001715157,0.01219431,0.0003366236,0.00002941457,0.0002231611,0.003238393,0.0000249734,0.002743549],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001709165,"threshold_uncertainty_score":0.003398418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04044019777972061,"score_gpt":0.2248859540463093,"score_spread":0.1844457562665887,"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."}}