{"id":"W4398141029","doi":"10.1002/advs.202401263","title":"Microfluidic Biochips for Single‐Cell Isolation and Single‐Cell Analysis of Multiomics and Exosomes","year":2024,"lang":"en","type":"review","venue":"Advanced Science","topic":"Microfluidic and Bio-sensing Technologies","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"National Natural Science Foundation of China; Shandong University; National Science Foundation","keywords":"Microfluidics; Biochip; Isolation (microbiology); Single-cell analysis; Computer science; Computational biology; Cell; Nanotechnology; Multiplex; Exosome; Microvesicles; Biology; Bioinformatics; microRNA; Materials science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004966763,0.001168973,0.0009246331,0.002711234,0.0002693975,0.0008231997,0.0006791791,0.001009628,0.002458423],"category_scores_gemma":[0.0004687021,0.0003893159,0.0005965462,0.001970151,0.0003694001,0.001552297,0.0006650862,0.001371721,0.002027489],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005507316,"about_ca_system_score_gemma":0.0009062915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006828473,"about_ca_topic_score_gemma":0.001177628,"domain_scores_codex":[0.9997965,0.0000236799,0.00002013554,0.00004087689,0.00009816887,0.0000206084],"domain_scores_gemma":[0.9998317,0.00008602482,0.00002261377,0.00000712757,0.00004180226,0.0000107031],"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":[0.00003134875,0.00007812917,0.0001271537,0.01672578,0.00006180802,0.0001826275,0.00005478458,0.0007124295,0.01720338,0.01287595,0.01653813,0.9354085],"study_design_scores_gemma":[0.000008263562,0.00008971488,0.0004276332,0.001936046,0.0000725413,0.0007644996,0.00004329847,0.0003430423,0.008194952,0.002637774,0.9854476,0.00003461001],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003558737,0.9934992,0.0020527,0.0002734008,0.0003593032,0.00002046919,0.00005152858,0.00003267528,0.0033549],"genre_scores_gemma":[0.001407044,0.9953087,0.001477832,0.0001588843,0.0001032635,0.00002639663,0.00005970538,0.00000448407,0.001453684],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002711234,"threshold_uncertainty_score":0.008224249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03307382640693069,"score_gpt":0.2786273575363724,"score_spread":0.2455535311294417,"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."}}