{"id":"W2518237121","doi":"10.1109/marss.2016.7561739","title":"Improved three-dimensional remote aggregations of magnetotactic bacteria for tumor targeting","year":2016,"lang":"en","type":"article","venue":"","topic":"Micro and Nano Robotics","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Magnetotactic bacteria; Nanorobotics; Computer science; Bacteria; Flexibility (engineering); Nanotechnology; Materials science; Biology; Artificial intelligence; Mathematics","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":[0.000080066,0.00008639195,0.0001267549,0.00002499072,0.00005966158,0.000008541562,0.00006812003,0.00001591317,0.00153339],"category_scores_gemma":[0.00001575528,0.00005559955,0.00008669208,0.00004375353,0.00002569805,0.0000762105,0.00002981285,0.00002486548,0.00001743275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008843711,"about_ca_system_score_gemma":0.00005791425,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001015443,"about_ca_topic_score_gemma":0.000008372201,"domain_scores_codex":[0.9994357,0.000008448006,0.0002096393,0.0001341583,0.00004649514,0.0001655732],"domain_scores_gemma":[0.9994634,0.0001311394,0.0001284149,0.0001301931,0.0001044291,0.00004240941],"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":[0.00003311348,0.00004783924,0.001490068,0.0000133469,0.00003620945,1.094236e-7,0.00001137745,0.000006185805,0.9684514,0.006086868,0.00163053,0.02219297],"study_design_scores_gemma":[0.003536471,0.0002996207,0.002448399,0.0001523027,0.0001123369,0.000001833065,0.00005104449,0.0189593,0.9433485,0.02197578,0.008582696,0.000531666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6435804,0.00003306902,0.353677,0.0004772957,0.0002728706,0.0004114757,0.000114705,0.0000294076,0.001403753],"genre_scores_gemma":[0.9307693,3.13012e-7,0.06657459,0.00002559642,0.0001780445,0.000004860063,0.00002204761,0.00001435296,0.002410847],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2871889,"threshold_uncertainty_score":0.9993793,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009636458667208834,"score_gpt":0.2284576546093479,"score_spread":0.2188211959421391,"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."}}