{"id":"W1963763297","doi":"10.1109/iembs.2010.5626222","title":"MRI visualization of a single 15 µm navigable imaging agent and future microrobot","year":2010,"lang":"en","type":"article","venue":"","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Hôpital Notre-Dame; Polytechnique Montréal","funders":"","keywords":"Artifact (error); Magnetic resonance imaging; Gradient echo; Visualization; Biomedical engineering; Materials science; Microsphere; Microparticle; Image resolution; Clinical imaging; Nuclear magnetic resonance; Radiology; Computer science; Computer vision; Artificial intelligence; Physics; Optics; Medicine; Engineering","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006642495,0.0001019838,0.0001259674,0.00003448315,0.00006351726,0.00003817701,0.00006419473,0.0000289616,0.0009443914],"category_scores_gemma":[0.000001153434,0.000089632,0.00004178451,0.00009164066,0.00004066883,0.00008797058,0.00004329151,0.00008009459,0.00001705324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004707485,"about_ca_system_score_gemma":0.00002110616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001515146,"about_ca_topic_score_gemma":0.00002629533,"domain_scores_codex":[0.9994617,0.00001124504,0.0001628523,0.0001496497,0.00006554551,0.0001489809],"domain_scores_gemma":[0.9996359,0.00001352745,0.00007523526,0.000155657,0.00006512203,0.00005452286],"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":[0.000005060624,0.000154997,0.04855665,0.00002009285,0.00001959344,2.102868e-7,0.0003234686,0.00001632838,0.9217896,0.01854509,0.00327518,0.007293731],"study_design_scores_gemma":[0.001409703,0.00005464219,0.004671395,0.00005269872,0.000102099,0.000009482003,0.000896717,0.0008546542,0.5517393,0.002978953,0.436614,0.0006162722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8545394,0.0002464775,0.1240704,0.0004072632,0.0006766441,0.000238371,0.00002289372,0.00004664468,0.01975191],"genre_scores_gemma":[0.9858118,0.000007811566,0.01202794,0.00005763158,0.0004809151,0.000002260768,0.00005649192,0.00001781228,0.00153735],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4333389,"threshold_uncertainty_score":0.9999689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007722880303590327,"score_gpt":0.2493644950767779,"score_spread":0.2416416147731875,"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."}}