{"id":"W6922020208","doi":"10.1021/ac4006233.s001","title":"On-chip\\nEnrichment and Analysis of Peptide Subsets\\nUsing a Maleimide-functionalized Fluorous Affinity Biochip and Nanostructure\\nInitiator Mass Spectrometry","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Education Methods and Technologies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Mass spectrometry; Peptide; Analyte; Biochip; Protein mass spectrometry; Peptide mapping; Cysteine; Mass spectrum; Matrix-assisted laser desorption/ionization","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":[0.0004512853,0.0004350245,0.0005018254,0.0005342817,0.000371143,0.000515617,0.0007257122,0.0004176913,0.002176497],"category_scores_gemma":[0.000256385,0.0002379922,0.0002939036,0.0002660768,0.0002707767,0.0003388793,0.0005886043,0.0005358229,0.001855185],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003792417,"about_ca_system_score_gemma":0.0004228429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004759858,"about_ca_topic_score_gemma":0.002792538,"domain_scores_codex":[0.9995066,0.00004637934,0.00002094827,0.0001434986,0.0002247301,0.00005780596],"domain_scores_gemma":[0.999903,0.00002247198,0.00001206985,0.00002291428,0.00002517996,0.00001440115],"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":[0.00002953975,0.00002746667,0.0001165732,0.00003046036,0.000007048551,0.00002376777,0.00001239155,0.00005541704,0.9948156,0.0001982637,0.0001871499,0.004496268],"study_design_scores_gemma":[0.000004357483,0.00003932157,0.0009527658,0.000002287716,0.000004649522,0.00007317854,0.000009864173,0.001835959,0.9937508,0.00006484106,0.003256032,0.000006008299],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5592268,0.001749536,0.4185974,0.000420891,0.0003020471,0.0004171515,0.002974491,0.002921626,0.01338998],"genre_scores_gemma":[0.4710396,0.001907492,0.4932091,0.000526852,0.00007908789,0.0008531926,0.005083255,0.0003102168,0.02699114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002176497,"threshold_uncertainty_score":0.007281125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05012706934396587,"score_gpt":0.3296233482566652,"score_spread":0.2794962789126993,"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."}}