{"id":"W2330098631","doi":"10.1021/ac301169q","title":"Microwave-Assisted Protein Solubilization for Mass Spectrometry-Based Shotgun Proteome Analysis","year":2012,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Chemistry; Chromatography; Mass spectrometry; Proteome; Reagent; Homogenization (climate); Shotgun proteomics; Sample preparation; Trypsin; Tandem mass spectrometry; Solubilization; Proteomics; Biochemistry; Organic chemistry; Enzyme","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002128968,0.00029162,0.0004007523,0.0000834971,0.0001714412,0.00005462251,0.0003163502,0.0003098689,0.001373934],"category_scores_gemma":[0.0001735455,0.0002976244,0.000432163,0.0009346403,0.0001113243,0.0001100949,0.00004539426,0.000275983,0.00001382781],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002345311,"about_ca_system_score_gemma":0.00006544864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005932288,"about_ca_topic_score_gemma":0.000001352122,"domain_scores_codex":[0.9981477,0.000008242992,0.0004652783,0.0004975595,0.0002499907,0.0006312547],"domain_scores_gemma":[0.9985502,0.00008434211,0.0002073767,0.0007086276,0.0001589526,0.0002904493],"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":[0.00004396684,0.0002390875,0.002639939,0.0002691131,0.0002190015,6.710656e-7,0.00000680421,0.00005390138,0.9954884,0.0007944092,0.0001052489,0.0001394407],"study_design_scores_gemma":[0.0003603564,0.00001035606,0.00007045282,0.00002507104,0.0005540288,0.000002164071,0.00002544687,0.01456784,0.9803466,0.001491745,0.002168664,0.0003772441],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1611592,0.00005508121,0.8287984,0.0002414847,0.000005980725,0.000468394,0.0001123116,0.0002684539,0.008890697],"genre_scores_gemma":[0.7590762,0.000001793126,0.2365424,0.00005059628,0.0002024601,0.0008846984,0.0005310868,0.00004217446,0.002668586],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.597917,"threshold_uncertainty_score":0.9999476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02036062403464385,"score_gpt":0.2909229218933418,"score_spread":0.270562297858698,"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."}}