{"id":"W2995909596","doi":"10.1039/c9nr08714a","title":"Nanotoxicology at the particle/micelle frontier: influence of core-polymerization on the intracellular distribution, cytotoxicity and genotoxicity of polydiacetylene micelles","year":2019,"lang":"en","type":"article","venue":"Nanoscale","topic":"Polydiacetylene-based materials and applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nautical Research Society","funders":"Laboratoire d'Excellence en Recherche sur le Médicament et l'Innovation Thérapeutique; Agence Nationale de la Recherche","keywords":"Micelle; Polymerization; Genotoxicity; Cytotoxicity; Nanotoxicology; Particle (ecology); Chemistry; Toxicity; Chemical engineering; Biophysics; Materials science; Organic chemistry; Polymer; Biochemistry; In vitro; Biology; Aqueous solution","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":[],"consensus_categories":[],"category_scores_codex":[0.0002408484,0.0001751759,0.0002841485,0.00001088943,0.0002108214,0.00001527802,0.0002954527,0.0001571108,0.0005655235],"category_scores_gemma":[0.00007871127,0.0001158321,0.00007472684,0.0001524001,0.000437152,0.00004693384,0.0001513232,0.0001172286,0.00002985584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005175997,"about_ca_system_score_gemma":0.00004889326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001294664,"about_ca_topic_score_gemma":0.00002410165,"domain_scores_codex":[0.9987424,0.00006659327,0.0004303615,0.0002897763,0.0002140385,0.0002568302],"domain_scores_gemma":[0.9985949,0.0002891425,0.0003645142,0.000616405,0.00007431178,0.00006068552],"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":[0.0001057862,0.0001464343,0.01228573,0.00006547063,0.00002458507,1.661172e-7,0.0001322173,0.0001394594,0.984225,0.0025235,0.0002487332,0.0001029008],"study_design_scores_gemma":[0.000393156,0.00005434294,0.006911885,0.00003586653,0.00003384533,0.000001993182,0.00009500155,0.0002675267,0.9905823,0.0001356553,0.001366303,0.0001221061],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974194,0.0005297475,0.00008137772,0.0006091806,0.00005209284,0.0003635763,0.0006493492,0.00002466083,0.0002706767],"genre_scores_gemma":[0.9988384,0.0001892559,0.00002592624,0.0001344337,0.00003643514,0.00007543769,0.00007014327,0.00001669292,0.0006132567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0063573,"threshold_uncertainty_score":0.6192085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007658626398262314,"score_gpt":0.2102768920622685,"score_spread":0.2026182656640062,"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."}}