{"id":"W2122421719","doi":"10.1002/1522-2683(200101)22:2<208::aid-elps208>3.0.co;2-o","title":"Proteomics on a chip: Promising developments","year":2001,"lang":"en","type":"review","venue":"Electrophoresis","topic":"Advanced Biosensing Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Muscular Dystrophy Canada; Ontario College of Art and Design","funders":"","keywords":"Proteomics; Computer science; Data science; Computational biology; Genomics; Microfluidics; Nanotechnology; Biology; Genome; Materials science; Genetics; Gene","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":[0.00264125,0.001735254,0.001749874,0.001734398,0.0004859986,0.002419769,0.002238437,0.00302719,0.004901455],"category_scores_gemma":[0.001137126,0.0006859089,0.0007903241,0.002205801,0.0007355791,0.003853033,0.001244622,0.003171175,0.007449233],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009941553,"about_ca_system_score_gemma":0.001055069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008602295,"about_ca_topic_score_gemma":0.001150567,"domain_scores_codex":[0.9989111,0.0001606025,0.00005483695,0.0001899208,0.0006009904,0.00008244431],"domain_scores_gemma":[0.9993827,0.0001969682,0.00003794864,0.00002649206,0.000272592,0.00008323773],"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":[0.000124965,0.0001499513,0.0002061393,0.006017827,0.0000943769,0.0003451034,0.0000886862,0.0007772262,0.01999615,0.01744717,0.05037165,0.9043807],"study_design_scores_gemma":[0.00002173982,0.0001952447,0.0003352219,0.0005990393,0.00004238578,0.0008992177,0.00005757427,0.0006099982,0.005313935,0.004147078,0.9877403,0.00003829583],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0005375631,0.9853719,0.006090842,0.001370429,0.001326675,0.00003338217,0.00004169931,0.00009741379,0.005130116],"genre_scores_gemma":[0.002947253,0.9774834,0.009510066,0.001764827,0.0009453136,0.00005729353,0.0001287181,0.00001709539,0.007146038],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004901455,"threshold_uncertainty_score":0.01639706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595836603404604,"score_gpt":0.3279376101418322,"score_spread":0.3019792441077861,"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."}}