{"id":"W2515051096","doi":"10.1038/nnano.2016.137","title":"Magneto-aerotactic bacteria deliver drug-containing nanoliposomes to tumour hypoxic regions","year":2016,"lang":"en","type":"article","venue":"Nature Nanotechnology","topic":"Geomagnetism and Paleomagnetism Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1101,"is_retracted":false,"has_abstract":false,"ca_institutions":"Jewish General Hospital; Université de Montréal; McGill University Health Centre; Institute for Research in Immunology and Cancer; McGill University; Polytechnique Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; Canada Research Chairs","keywords":"Nanocarriers; Magnetotactic bacteria; Biophysics; Targeted drug delivery; Bacteria; Drug; Hypoxia (environmental); Magnetosome; Cell culture; Oxygen; Magnetic nanoparticles; Nanoparticle; Drug delivery; Chemistry; Cancer research; Materials science; Nanotechnology; Biology; Pharmacology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001211992,0.0001938387,0.0002094685,0.0001522119,0.0001301545,0.0003010578,0.0001602163,0.0003337958,0.0007175127],"category_scores_gemma":[0.00008946324,0.0001322334,0.0001377027,0.0000851756,0.0001577154,0.0002647558,0.0002142545,0.0003331279,0.0002620234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003862884,"about_ca_system_score_gemma":0.0002069662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000813172,"about_ca_topic_score_gemma":0.001134319,"domain_scores_codex":[0.9999496,0.000005904522,0.000002745072,0.00001135496,0.000009546367,0.00002089974],"domain_scores_gemma":[0.9999567,0.00001162361,0.000009500034,0.000003330151,0.000005305927,0.00001340685],"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":[0.0001006205,0.00002082218,0.0000563097,0.00003609726,0.000004855517,0.0000287522,0.00001451857,0.0001204143,0.9979398,0.0002131713,0.00005906127,0.00140557],"study_design_scores_gemma":[0.00002567181,0.0001651489,0.0004165099,0.000004589824,0.00001247842,0.00004540183,0.00001302195,0.00102329,0.9969367,0.00003278746,0.001321474,0.000002869437],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913762,0.001285442,0.004601079,0.0002203215,0.00004442028,0.00006336438,0.0001613653,0.00008855335,0.002159229],"genre_scores_gemma":[0.994778,0.0005658139,0.002596896,0.0000744119,0.000009487009,0.00002894775,0.00008908461,0.0000171731,0.001840058],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000813172,"threshold_uncertainty_score":0.00280267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005036215322707059,"score_gpt":0.2209091709242789,"score_spread":0.2158729556015718,"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."}}