{"id":"W4396982172","doi":"10.1109/tbme.2024.3401681","title":"Hybrid Hydrogel-Magnet Actuated Capsule for Automatic Gut Microbiome Sampling","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Biomedical Engineering","topic":"Gastrointestinal motility and disorders","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Capsule; Gut microbiome; Magnet; Microbiome; Sampling (signal processing); Biomedical engineering; Materials science; Computer science; Biology; Medicine; Engineering; Mechanical engineering; Bioinformatics; Detector; 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":[0.0002229943,0.0003639232,0.0002216889,0.000205288,0.00008695243,0.0002474583,0.0002876551,0.0004111069,0.0007673696],"category_scores_gemma":[0.0003756983,0.0001850923,0.0003170412,0.0001172111,0.0001494429,0.0003496427,0.0003247831,0.0002426158,0.0002918772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001666213,"about_ca_system_score_gemma":0.0001783269,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001881191,"about_ca_topic_score_gemma":0.000342838,"domain_scores_codex":[0.9998195,0.00002199045,0.00001546059,0.00005038081,0.0000664583,0.00002615458],"domain_scores_gemma":[0.9997498,0.00004821512,0.000108574,0.00001914435,0.00003599359,0.00003818337],"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":[0.00005473257,0.00001675213,0.0001742311,0.0001396614,0.000009191834,0.00006055212,0.00001259172,0.0002076223,0.9950642,0.00004724514,0.0001047805,0.004108587],"study_design_scores_gemma":[0.00002207602,0.0005150007,0.002425559,0.00001421901,0.0000282938,0.0002898014,0.00001225887,0.003837351,0.9889948,0.00002435327,0.003808695,0.00002759352],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8968384,0.004845719,0.09253868,0.0002583573,0.000222968,0.0002504149,0.001049082,0.0009892765,0.003006961],"genre_scores_gemma":[0.929184,0.001109581,0.06636289,0.0002148305,0.00004756491,0.0002245319,0.0004812063,0.00005562572,0.002319778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007673696,"threshold_uncertainty_score":0.002567112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01630432339275049,"score_gpt":0.2581297648096417,"score_spread":0.2418254414168912,"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."}}