{"id":"W1549635624","doi":"10.1002/mas.21417","title":"Advances in coupling microfluidic chips to mass spectrometry","year":2014,"lang":"en","type":"review","venue":"Mass Spectrometry Reviews","topic":"Microfluidic and Capillary Electrophoresis Applications","field":"Engineering","cited_by":129,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Chemistry; Mass spectrometry; Microfluidics; Chromatography; Coupling (piping); Nanotechnology; Analytical Chemistry (journal)","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":[0.00117707,0.001449655,0.001238632,0.002798959,0.0003743514,0.001320089,0.001144714,0.001255876,0.002676],"category_scores_gemma":[0.001153828,0.0005740829,0.0006382241,0.002458322,0.0006888965,0.002143078,0.001215618,0.001801052,0.003400939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006858835,"about_ca_system_score_gemma":0.001076757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006190157,"about_ca_topic_score_gemma":0.0006011145,"domain_scores_codex":[0.9991524,0.0001154223,0.00008121299,0.0001760799,0.0004217204,0.00005304443],"domain_scores_gemma":[0.9994712,0.000237707,0.00006994488,0.00002579024,0.0001653518,0.00002991806],"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":[0.00003996388,0.0001160317,0.0003313348,0.01046339,0.00007694715,0.0003220952,0.00009065164,0.0009666004,0.04184919,0.01362545,0.01138159,0.9207368],"study_design_scores_gemma":[0.000007873763,0.0001495122,0.0005663047,0.001003784,0.00006489385,0.001885021,0.0000542043,0.0007554475,0.02580094,0.003987013,0.9656662,0.00005890626],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000924208,0.9758996,0.01474866,0.0006318879,0.0008162009,0.00003743726,0.00004123656,0.000107936,0.006792842],"genre_scores_gemma":[0.004516708,0.9788854,0.01237916,0.0004691646,0.0005416473,0.00004997187,0.000066205,0.00001757748,0.003074215],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002798959,"threshold_uncertainty_score":0.008952141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02021790109087576,"score_gpt":0.2825955653442639,"score_spread":0.2623776642533882,"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."}}