{"id":"W2782633767","doi":"10.1109/tmag.2017.2766154","title":"Evaluation of the Potential of Dipole Field Navigation for the Targeted Delivery of Therapeutic Agents in a Human Vascular Network","year":2018,"lang":"en","type":"article","venue":"IEEE Transactions on Magnetics","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Kom op tegen Kanker; Canada Research Chairs; Kræftens Bekæmpelse","keywords":"Microscale chemistry; Computer science; Dipole; Magnetic field; Scanner; Magnetic resonance imaging; Distortion (music); Magnetization; Materials science; Nuclear magnetic resonance; Biomedical engineering; Physics; Artificial intelligence; Radiology; Medicine; Telecommunications","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":[0.0003793379,0.0003714221,0.0001810989,0.0003043181,0.0001059271,0.000331668,0.0001640568,0.0004173781,0.0005523494],"category_scores_gemma":[0.001452795,0.0001274155,0.0001331553,0.0001593301,0.0002522028,0.0002200255,0.0002252108,0.0001446693,0.0001191257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002425837,"about_ca_system_score_gemma":0.0003043317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009091955,"about_ca_topic_score_gemma":0.001065927,"domain_scores_codex":[0.9998889,0.00004226441,0.000003447529,0.00001962243,0.00003210879,0.00001363753],"domain_scores_gemma":[0.9995087,0.0003417056,0.00004761915,0.00002130064,0.00005157812,0.0000289634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001659167,0.0002501734,0.004901431,0.0004616214,0.00006144794,0.0005052803,0.0001942727,0.2900328,0.5837076,0.001355523,0.0009640239,0.1159067],"study_design_scores_gemma":[0.00006006924,0.002422067,0.00628928,0.00003385297,0.00006897634,0.0005426566,0.00009813466,0.7554489,0.2319736,0.000597281,0.002420522,0.00004455554],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8047367,0.002499538,0.1866079,0.0003726149,0.00005273611,0.000102095,0.0001161607,0.0006448926,0.004867387],"genre_scores_gemma":[0.963243,0.0005192335,0.0351926,0.00004572186,0.00001111918,0.00003762072,0.00003812896,0.00003830792,0.0008743405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009091955,"threshold_uncertainty_score":0.002006173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0255292117484644,"score_gpt":0.2827082814415827,"score_spread":0.2571790696931183,"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."}}