{"id":"W2021192251","doi":"10.4155/bio.14.188","title":"Large-Scale Label-Free Phosphoproteomics: from Technology to Data Interpretation","year":2014,"lang":"en","type":"review","venue":"Bioanalysis","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Phosphoproteomics; Scale (ratio); Computer science; Data science; Nanotechnology; Computational biology; Biochemical engineering; Chemistry; Biology; Engineering; Materials science; Physics; Biochemistry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002262743,0.0005061922,0.001750572,0.0003701769,0.0001300626,0.00008551287,0.003872338,0.0007900804,0.0007366522],"category_scores_gemma":[0.0002694455,0.0004692309,0.0003428061,0.001092202,0.00006507802,0.00009552157,0.002204712,0.0005724739,0.0003475962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002160943,"about_ca_system_score_gemma":0.00008654377,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009575355,"about_ca_topic_score_gemma":0.0001630463,"domain_scores_codex":[0.9971454,0.0000278537,0.0008931088,0.001347512,0.0002171963,0.0003690038],"domain_scores_gemma":[0.9927499,0.0001045809,0.0006630208,0.006245526,0.0001027013,0.0001342927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000004102172,0.00006299783,0.000004644239,0.0009894952,0.0004404107,0.000001427696,0.00001895483,7.340814e-7,0.00005545732,0.0002277651,0.001244662,0.9969494],"study_design_scores_gemma":[0.0001164204,0.000007658395,2.365402e-8,0.001818658,0.002064782,0.000001896968,0.00003177756,0.001488842,0.0004864889,0.00328534,0.990206,0.0004920988],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000004152304,0.7821242,0.2108923,0.0001990428,0.00002741018,0.00040973,0.005102502,0.0003642154,0.0008764511],"genre_scores_gemma":[0.0000112163,0.7713337,0.2213629,0.00006096274,0.0001589906,0.0008610713,0.005503008,0.00008611975,0.00062202],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9964573,"threshold_uncertainty_score":0.9997759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02714439144079511,"score_gpt":0.3527751811623694,"score_spread":0.3256307897215743,"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."}}