{"id":"W1968609398","doi":"10.1021/pr200698c","title":"Proteomics Signature Profiling (PSP): A Novel Contextualization Approach for Cancer Proteomics","year":2012,"lang":"en","type":"article","venue":"Journal of Proteome Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; McGill University Health Centre","funders":"Wellcome Trust","keywords":"Proteomics; Proteome; Computational biology; Quantitative proteomics; Bioinformatics; Biology; Computer science; 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":[],"consensus_categories":[],"category_scores_codex":[0.003818941,0.0001714365,0.0002643825,0.0001693868,0.0001979167,0.0000801467,0.0003867517,0.0003627713,0.00000671921],"category_scores_gemma":[0.0003629835,0.0001365317,0.0001614042,0.000226396,0.0001112514,0.00003456847,0.0001395092,0.0006338402,0.000001221003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009921593,"about_ca_system_score_gemma":0.0004716397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005266078,"about_ca_topic_score_gemma":0.000001775473,"domain_scores_codex":[0.9980426,0.0001007115,0.000574607,0.000172776,0.0004567198,0.0006525426],"domain_scores_gemma":[0.9979077,0.00002999016,0.0004185904,0.0002351667,0.001187495,0.0002210611],"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":[0.0006813942,0.0002530085,0.0005830713,0.0003225394,0.0001381599,3.055373e-7,0.0002933538,0.000945906,0.9926913,0.0008312764,0.001783211,0.001476517],"study_design_scores_gemma":[0.004001539,0.001710192,0.0002195505,0.0002058828,0.00005941972,0.000154063,0.0009592067,0.02154312,0.9419608,0.0007131736,0.02789882,0.0005742452],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1385558,0.002922858,0.8533595,0.0003035853,0.0002458942,0.004176352,0.00005983329,0.0000057623,0.000370428],"genre_scores_gemma":[0.6188603,0.0002922359,0.3761728,0.0001039229,0.003176456,0.0006996937,0.00007856358,0.00006112351,0.0005548827],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4803045,"threshold_uncertainty_score":0.55676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07292848902617943,"score_gpt":0.3711921457924386,"score_spread":0.2982636567662592,"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."}}