{"id":"W2022867904","doi":"10.1002/tox.20402","title":"Ecotoxicity of selected nano‐materials to aquatic organisms","year":2008,"lang":"en","type":"article","venue":"Environmental Toxicology","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":300,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Environment and Climate Change Canada","funders":"","keywords":"Ecotoxicity; Oxide; Zinc; Materials science; Nuclear chemistry; Environmental chemistry; Inorganic chemistry; Chemistry; Metallurgy; Toxicity; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001529555,0.0001229382,0.0002592333,0.00004296656,0.0001557453,0.000006898966,0.000224955,0.00007611066,0.006260971],"category_scores_gemma":[0.00004692667,0.0001154603,0.0000267923,0.0001311211,0.0002333412,0.00005919004,0.0001082418,0.00003209927,0.002032852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007671887,"about_ca_system_score_gemma":0.00002472186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001530819,"about_ca_topic_score_gemma":0.0000084071,"domain_scores_codex":[0.9988375,0.0001102733,0.0003420657,0.0002824945,0.0001523387,0.0002753031],"domain_scores_gemma":[0.9994202,0.00008255284,0.0001123456,0.0002727882,0.000004181259,0.0001079936],"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":[0.0000177464,0.0003104297,0.001394613,0.000002921212,0.00000449509,0.000003229052,0.0002201447,0.00001160634,0.9975637,0.0001057843,0.0002705238,0.00009482921],"study_design_scores_gemma":[0.0001806811,0.0001946337,0.03050927,0.000003241244,0.000009498347,0.00002495468,0.00004241747,0.000004348504,0.9683694,0.00008879576,0.0004538517,0.0001188872],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989227,0.0000175769,0.0002174071,0.0001866297,0.0001031979,0.0003400136,0.00006376764,0.00003835511,0.0001103474],"genre_scores_gemma":[0.9965889,0.00001408577,0.002804845,0.00023146,0.0000406351,0.0000871377,0.00000743215,0.00001728153,0.0002082086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02919426,"threshold_uncertainty_score":0.9987442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266465201220644,"score_gpt":0.2154187104238602,"score_spread":0.2027540584116538,"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."}}