{"id":"W2970256893","doi":"10.1039/c9en00710e","title":"Emerging investigator series: linking chemical transformations of silver and silver nanoparticles in the extracellular and intracellular environments to their bio-reactivity","year":2019,"lang":"en","type":"article","venue":"Environmental Science Nano","topic":"Nanoparticles: synthesis and applications","field":"Materials Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Stillwater (Canada)","funders":"","keywords":"Intracellular; Reactivity (psychology); Genetic algorithm; Extracellular; Silver nanoparticle; Nanoparticle; Fish <Actinopterygii>; Chemistry; Environmental chemistry; Nanotechnology; Biophysics; Materials science; Biology; Biochemistry; Evolutionary biology; Medicine","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":[0.0009114624,0.0001374778,0.0001543909,0.00006500864,0.0001961717,0.00007147578,0.000306577,0.00004069779,0.0001014751],"category_scores_gemma":[0.00002636145,0.0001003975,0.00002415922,0.0002574366,0.0008246714,0.0006711782,0.0001331292,0.00007461296,0.0000551328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005802615,"about_ca_system_score_gemma":0.00002078843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002131844,"about_ca_topic_score_gemma":0.000003309752,"domain_scores_codex":[0.9986113,0.00005738758,0.0002788978,0.0003743606,0.0003667302,0.0003112729],"domain_scores_gemma":[0.9993988,0.00008365281,0.00007801039,0.0002843032,0.000002174417,0.0001531096],"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":[0.00000666504,0.0001030114,0.008339254,0.000007165519,0.000001097754,4.192963e-7,0.002966115,0.00003958378,0.9861271,0.0002885282,0.000001664122,0.002119374],"study_design_scores_gemma":[0.0001553282,0.00004033126,0.0127536,0.00002458406,0.000007004506,0.000007222116,0.001659743,0.0003126843,0.9835724,0.0002239256,0.001113797,0.000129347],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986209,0.0001948675,0.00004623294,0.0006103054,0.00002756776,0.0004330802,0.0000184842,0.000008316968,0.00004022273],"genre_scores_gemma":[0.9989819,0.00004786923,0.000802804,0.00009047141,0.000009404463,0.00004065074,0.000001576023,0.000007596994,0.00001775999],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004414351,"threshold_uncertainty_score":0.409409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008023127405314296,"score_gpt":0.2033748052274558,"score_spread":0.1953516778221415,"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."}}