{"id":"W2217692123","doi":"10.1039/c5lc01046b","title":"Microfluidic perfusion systems for secretion fingerprint analysis of pancreatic islets: applications, challenges and opportunities","year":2015,"lang":"en","type":"review","venue":"Lab on a Chip","topic":"Pancreatic function and diabetes","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Islet; Microfluidics; Secretion; Fingerprint (computing); Pancreatic islets; Proteome; Computer science; Secretory protein; Computational biology; Biomedical engineering; Nanotechnology; Cell biology; Insulin; Biology; Chemistry; Materials science; Medicine; Bioinformatics; Artificial intelligence; Biochemistry; Endocrinology","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":[],"consensus_categories":[],"category_scores_codex":[0.0006268649,0.0003061876,0.002332831,0.0006776259,0.00004829849,0.00001725537,0.00007548271,0.0002552031,0.00002727234],"category_scores_gemma":[0.0001269572,0.0002275082,0.0003644183,0.000244962,0.00006580661,0.00002298666,0.00003058686,0.0001336792,0.000009207244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001069292,"about_ca_system_score_gemma":0.0002037771,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001638505,"about_ca_topic_score_gemma":4.985536e-7,"domain_scores_codex":[0.9984486,0.0001483991,0.0006094808,0.0003789826,0.0002455559,0.0001689671],"domain_scores_gemma":[0.9982812,0.0004358502,0.0004321194,0.0004896603,0.0001952937,0.0001659132],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005211147,0.000129681,0.000009789877,0.0460984,0.001725383,0.000001600549,0.0002104555,2.893192e-7,0.0000226608,0.003971499,0.0008853519,0.9468928],"study_design_scores_gemma":[0.0004036132,0.0002701324,0.00002234887,0.008873194,0.01561911,0.00001138014,0.0003148708,0.0001254704,0.000003771567,0.00003070153,0.9741413,0.0001841103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004342704,0.9948168,0.000124019,0.00009143839,0.00007901794,0.001827716,0.0002263827,0.00005158976,0.002348766],"genre_scores_gemma":[0.0001662221,0.9961776,0.00004778351,0.00006401133,0.0001431041,0.001040617,0.001302056,0.00003659581,0.001021972],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9732559,"threshold_uncertainty_score":0.9277514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1310525225194455,"score_gpt":0.3326883438506099,"score_spread":0.2016358213311643,"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."}}