{"id":"W2038088590","doi":"10.1021/ac061248v","title":"Multiplexed Proteomic Reactor for the Processing of Proteomic Samples","year":2006,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Chemistry; Lysis; Fractionation; Chromatography; Size-exclusion chromatography; Proteomics; Peptide; Mass spectrometry; Proteome; Biochemistry; Enzyme","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":[0.002795316,0.001238455,0.001032004,0.0007931167,0.0005004499,0.001548535,0.001989326,0.001125854,0.002400768],"category_scores_gemma":[0.0009806345,0.0008635548,0.0007607177,0.0005641371,0.0004100507,0.0009448419,0.0007884391,0.002022554,0.003185907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005226593,"about_ca_system_score_gemma":0.0005926887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002829201,"about_ca_topic_score_gemma":0.0004004131,"domain_scores_codex":[0.9976666,0.0003767034,0.0001335519,0.0007449187,0.000953958,0.0001243453],"domain_scores_gemma":[0.9994516,0.000176699,0.00006683343,0.00009972453,0.0001249508,0.00008016477],"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":[0.0001865902,0.00007808561,0.0002173143,0.00009279868,0.00003066568,0.00004931923,0.0000249804,0.0003539701,0.9906843,0.0004819521,0.0004363575,0.007363705],"study_design_scores_gemma":[0.00002799231,0.0002392932,0.0006191307,0.00001045819,0.00004479913,0.0002756321,0.00001125622,0.007962258,0.9824491,0.0001661977,0.008155926,0.00003789275],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1598523,0.00316057,0.826079,0.0003171903,0.0005015654,0.0008736393,0.00255096,0.004105188,0.002559734],"genre_scores_gemma":[0.1300899,0.001591903,0.8573276,0.0002173701,0.0001194177,0.00114799,0.003762664,0.0002050429,0.005538158],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002795316,"threshold_uncertainty_score":0.01478326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02150797196530668,"score_gpt":0.2896774769785364,"score_spread":0.2681695050132297,"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."}}