{"id":"W1552431667","doi":"10.1002/em.21770","title":"Genotoxicity of nanomaterials: Refining strategies and tests for hazard identification","year":2013,"lang":"en","type":"article","venue":"Environmental and Molecular Mutagenesis","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Genotoxicity; Toxicology; Computational biology; Risk analysis (engineering); Biotechnology; Biology; Medicine; Toxicity","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":[0.02766465,0.002812341,0.00261315,0.005024973,0.001323643,0.003859899,0.003398509,0.004121104,0.002254956],"category_scores_gemma":[0.009988817,0.001290696,0.001488813,0.00237258,0.005055327,0.007832624,0.003613891,0.004712667,0.00155216],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004195718,"about_ca_system_score_gemma":0.004513499,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360393,"about_ca_topic_score_gemma":0.004342524,"domain_scores_codex":[0.984916,0.007300736,0.001096076,0.001511324,0.004689144,0.000486793],"domain_scores_gemma":[0.9932575,0.00232405,0.0005569817,0.0008322606,0.002824834,0.0002044015],"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":[0.0003509102,0.0006085492,0.003691883,0.00865062,0.0001101412,0.0006175368,0.00216269,0.008202846,0.5262221,0.05051358,0.003854687,0.3950145],"study_design_scores_gemma":[0.00005459634,0.002892792,0.003229803,0.00213367,0.0001597251,0.001407255,0.003206491,0.009543544,0.6661217,0.07252372,0.2384492,0.0002775835],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0566385,0.1184829,0.778317,0.01626642,0.001559244,0.003940096,0.0007581408,0.0008114077,0.02322629],"genre_scores_gemma":[0.1583425,0.08756711,0.7314463,0.004366548,0.0003647396,0.002679287,0.0007088787,0.0003001537,0.01422459],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02766465,"threshold_uncertainty_score":0.1463064,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01205865014833169,"score_gpt":0.2291747295021704,"score_spread":0.2171160793538388,"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."}}