{"id":"W2088511107","doi":"10.1007/s10544-013-9794-4","title":"Assessment of navigation control strategy for magnetotactic bacteria in microchannel: toward targeting solid tumors","year":2013,"lang":"en","type":"article","venue":"Biomedical Microdevices","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":50,"is_retracted":false,"has_abstract":false,"ca_institutions":"Polytechnique Montréal","funders":"National Institute of Biomedical Imaging and Bioengineering; Natural Sciences and Engineering Research Council of Canada; National Institutes of Health","keywords":"Magnetotactic bacteria; Vascular network; Drug delivery; Angiogenesis; Microchannel; Nanotechnology; Computer science; Targeted drug delivery; Biomedical engineering; Materials science; Biology; Cancer research; Engineering; Bacteria; Anatomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002475911,0.0001751661,0.0003741425,0.00009136427,0.00004515634,0.00005359504,0.0001849548,0.00007482783,0.0006045896],"category_scores_gemma":[0.000005977126,0.000152186,0.00009861801,0.0001557631,0.00008358104,0.0001606915,0.00003389717,0.0001253027,0.00001747629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003334142,"about_ca_system_score_gemma":0.0001416184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006323688,"about_ca_topic_score_gemma":0.000002986841,"domain_scores_codex":[0.9986147,0.00005136387,0.0005914883,0.0002605546,0.0001260584,0.0003558841],"domain_scores_gemma":[0.9992647,0.0001205236,0.0002738023,0.000115403,0.0001180326,0.0001076062],"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":[0.00001416103,0.0003010688,0.008452003,0.0002754333,0.00005606825,9.89443e-7,0.0002018897,0.00004766283,0.9840018,0.0005185771,0.0008804062,0.005249896],"study_design_scores_gemma":[0.02956188,0.003592822,0.3390103,0.003105641,0.0006231669,0.00002075911,0.01589767,0.1018653,0.4650283,0.01547832,0.02167973,0.004136161],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9764892,0.0001566245,0.02188941,0.0002608786,0.0001914689,0.000708097,0.0001333641,0.00001609697,0.0001548762],"genre_scores_gemma":[0.9940745,0.000003058766,0.005177462,0.00004786213,0.0002459056,0.00008410859,0.0003051817,0.00001868066,0.00004319105],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5189735,"threshold_uncertainty_score":0.6619833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01242913785691273,"score_gpt":0.2900481425066094,"score_spread":0.2776190046496966,"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."}}