{"id":"W2037696966","doi":"10.1016/j.aquatox.2010.09.005","title":"Acute toxicity, accumulation and tissue distribution of copper in the blue crab Callinectes sapidus acclimated to different salinities: In vivo and in vitro studies","year":2010,"lang":"en","type":"article","venue":"Aquatic Toxicology","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":106,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Instituto Nacional de Ciência e Tecnologia de Toxicologia Aquática; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; International Development Research Centre; International Copper Association; McMaster University","keywords":"Callinectes; In vivo; Toxicity; Decapoda; In vitro; Copper; Biology; Acute toxicity; Chemistry; Toxicology; Crustacean; Environmental chemistry; Zoology; Biochemistry; Biotechnology","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":[0.0005650833,0.0001940342,0.0004284274,0.0001082029,0.00007662606,0.00001155054,0.0001850137,0.0002689047,0.0002751256],"category_scores_gemma":[0.0004065031,0.0001515358,0.00001849204,0.0002681585,0.0006099181,0.0001225132,0.0002929045,0.0003362043,0.00001449401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001462848,"about_ca_system_score_gemma":0.000007628418,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001436915,"about_ca_topic_score_gemma":0.030175,"domain_scores_codex":[0.9983414,0.0003104311,0.0004890045,0.0003667572,0.000124293,0.0003681127],"domain_scores_gemma":[0.9986404,0.0009892151,0.0001080431,0.0001906093,0.00000298795,0.00006880819],"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":[0.0002069333,0.0004172328,0.2028566,0.0000153575,0.00001612124,0.00002847396,0.002878608,0.0005965839,0.791927,0.00006878556,0.00010534,0.0008829113],"study_design_scores_gemma":[0.001430401,0.00064771,0.7310377,0.0000180973,0.00003171432,0.00004150766,0.001454571,0.002716627,0.2605489,0.001688831,0.0001455949,0.0002383029],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997382,0.00005055245,0.00001947714,0.001596314,0.0001248716,0.0007043316,0.000029424,0.000008918236,0.00008406838],"genre_scores_gemma":[0.998565,0.0001468842,0.0001491975,0.0009185875,0.00001406971,0.0001448891,0.00001725813,0.000008938448,0.00003521721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.531378,"threshold_uncertainty_score":0.9875218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02698491069368442,"score_gpt":0.3146600933103891,"score_spread":0.2876751826167047,"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."}}