{"id":"W4401713646","doi":"10.3390/toxics12080608","title":"Short-Term Chronic Toxicity of Copper to Hyalella azteca: Contrast in Terms of Equilibrating Diet, Diet Type, and Organic Matter Source","year":2024,"lang":"en","type":"article","venue":"Toxics","topic":"Environmental Toxicology and Ecotoxicology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada; University of Connecticut; National Science Foundation","keywords":"Hyalella azteca; Biotic Ligand Model; Environmental chemistry; Toxicity; Effluent; Organic matter; Copper toxicity; Environmental science; Chronic toxicity; Amphipoda; Chemistry; Biology; Ecotoxicology; Ecology; Crustacean; Environmental engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002291704,0.0001764311,0.0003007923,0.00006405714,0.00004790973,0.00001540385,0.0001971512,0.0001800166,0.003319688],"category_scores_gemma":[0.00002465533,0.0001659299,0.00003744636,0.0003312324,0.0003978964,0.00014042,0.0004394959,0.0002159312,0.0002423739],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001774746,"about_ca_system_score_gemma":0.00001007619,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009791645,"about_ca_topic_score_gemma":0.0004153426,"domain_scores_codex":[0.9987023,0.0000600391,0.0003771743,0.0003784675,0.000138763,0.0003432235],"domain_scores_gemma":[0.999513,0.0001120306,0.00004914801,0.000224786,0.000001855833,0.00009918174],"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":[0.00007838319,0.00007494961,0.2717803,0.00007089958,0.00001479907,0.00001196144,0.0004015219,0.0003615438,0.7251287,0.00002089922,0.0007710389,0.001284975],"study_design_scores_gemma":[0.0005248993,0.002731494,0.4178971,0.0001994547,0.00004787991,0.00004063768,0.0001450996,0.002755126,0.5730559,0.0003015448,0.001788824,0.0005119643],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9938859,0.0001879268,0.0001189271,0.0001763437,0.0001326182,0.0002883034,0.00001553173,0.00002191129,0.005172549],"genre_scores_gemma":[0.998517,0.00005957055,0.0002193665,0.0002459785,0.00003252226,0.0000126951,0.000004539941,0.00002685619,0.0008814599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1520728,"threshold_uncertainty_score":0.9975914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009228769888585722,"score_gpt":0.2370348428611286,"score_spread":0.2278060729725428,"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."}}