{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000803406,0.0001715518,0.0003357429,0.0003056724,0.0003418567,0.00005944102,0.0002908449,0.0001594033,0.002160581],"category_scores_gemma":[0.00005335979,0.0001365972,0.00004399967,0.0007360542,0.0002969752,0.0002660681,0.00007632583,0.0006359344,0.00000193975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002274599,"about_ca_system_score_gemma":0.0003612455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000333506,"about_ca_topic_score_gemma":0.00002301721,"domain_scores_codex":[0.997606,0.0001380201,0.0005997217,0.0002703715,0.001031429,0.00035441],"domain_scores_gemma":[0.9975102,0.00002927017,0.0005403738,0.000263355,0.00148965,0.0001671663],"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":[0.000371355,0.0003299734,0.001465729,0.0004104434,0.00005630275,0.00001096335,0.0001625479,0.000007226367,0.9954095,0.0002903845,0.001056318,0.0004292814],"study_design_scores_gemma":[0.00110959,0.001213042,0.001323869,0.0003153573,0.0000160996,0.000132737,0.00004276402,0.000243983,0.9943963,0.0006948975,0.0003526372,0.0001586782],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948237,0.000149802,0.001158838,0.0007627645,0.000006949906,0.001833044,0.00009556962,0.00003535274,0.00113397],"genre_scores_gemma":[0.9910263,0.0001026246,0.004949846,0.000002545218,0.0001769236,0.0009596444,0.0000428133,0.00004164202,0.002697641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003797388,"threshold_uncertainty_score":0.9987516,"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."}}