{"id":"W1495051530","doi":"10.1063/1.4929652","title":"Microfluidic platform for assessing pancreatic islet functionality through dielectric spectroscopy","year":2015,"lang":"en","type":"article","venue":"Biomicrofluidics","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Islet; Microfluidics; Transplantation; Pancreatic islets; Nanotechnology; Dielectric spectroscopy; Biomedical engineering; Materials science; Diabetes mellitus; Computer science; Chemistry; Cell biology; Biology; Medicine; Internal medicine; Endocrinology; Electrode","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":[0.0004076464,0.0003522695,0.0002427313,0.0004088582,0.0002041233,0.0003681872,0.000350116,0.0003627953,0.0006848446],"category_scores_gemma":[0.0005858592,0.0001971888,0.000169709,0.0002091691,0.0001912321,0.0003232574,0.0003659117,0.000344235,0.0002024942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003003877,"about_ca_system_score_gemma":0.0004212792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001787876,"about_ca_topic_score_gemma":0.0003749988,"domain_scores_codex":[0.9997627,0.00003657857,0.00002134329,0.00006076162,0.00009469777,0.00002390515],"domain_scores_gemma":[0.999772,0.0001001939,0.00005097207,0.00002035457,0.00003535415,0.0000210562],"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":[0.00003497539,0.00002605844,0.0002348819,0.00005992335,0.000005283376,0.00003400367,0.00001627251,0.0003520559,0.9923366,0.0003656895,0.0001233359,0.006410878],"study_design_scores_gemma":[0.00001595217,0.0002523692,0.001322678,0.00001140018,0.00001833269,0.0001525979,0.00001999082,0.007079778,0.9866716,0.000209317,0.004228185,0.00001775633],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.591462,0.005674499,0.3952118,0.0006022322,0.0004306472,0.0003809266,0.001043205,0.001201574,0.003993049],"genre_scores_gemma":[0.7226585,0.002862038,0.2714483,0.0002327039,0.00007065848,0.0003819231,0.0003748793,0.00002853753,0.001942543],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0006848446,"threshold_uncertainty_score":0.002291083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06882443885667483,"score_gpt":0.3216270539202419,"score_spread":0.2528026150635671,"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."}}