{"id":"W2012188169","doi":"10.1021/pr800229j","title":"Proteome Profile of Human Breast Cancer Tissue Generated by LC−ESI−MS/MS Combined with Sequential Protein Precipitation and Solubilization","year":2008,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Mass Spectrometry Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Alberta Cancer Foundation; University of Alberta","funders":"","keywords":"Proteome; Chemistry; Chromatography; Electrospray ionization; Human proteome project; Peptide; Protein precipitation; Proteomics; Trypsin; Breast cancer; Mass spectrometry; Computational biology; Biochemistry; Cancer; Biology; Enzyme; Gene; Genetics","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":[0.0002364152,0.0003955245,0.00041284,0.0006182545,0.0002268326,0.0002426473,0.0001835196,0.0002272597,0.0005944434],"category_scores_gemma":[0.0002152601,0.0001634094,0.000237252,0.0005776726,0.0001084095,0.0001447285,0.0001855604,0.0002653145,0.0005012818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001500491,"about_ca_system_score_gemma":0.0003177486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000453507,"about_ca_topic_score_gemma":0.0006303383,"domain_scores_codex":[0.9998679,0.00001690027,0.00001202669,0.00003572033,0.00005030476,0.00001706484],"domain_scores_gemma":[0.9999268,0.00001616791,0.00001226327,0.000006199393,0.00002633706,0.00001215705],"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":[0.00005715706,0.00001327201,0.000334078,0.00003521183,0.000006459794,0.00004388878,0.000008289677,0.00002463488,0.9980783,0.000009443645,0.00003045563,0.001358927],"study_design_scores_gemma":[0.00003007463,0.0003514279,0.02297286,0.0000130888,0.00009168665,0.001831571,0.00004566,0.002293443,0.9687155,0.00007131294,0.003570296,0.00001320754],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9731187,0.004386513,0.01878902,0.0001630376,0.00003550652,0.000146257,0.002308212,0.0001958812,0.0008569533],"genre_scores_gemma":[0.895394,0.007328704,0.07928001,0.0003574434,0.00005932115,0.0003593581,0.01450991,0.0001167909,0.002594507],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006182545,"threshold_uncertainty_score":0.00198859,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04278379108395547,"score_gpt":0.3551352759964846,"score_spread":0.3123514849125291,"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."}}