{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009483109,0.0007693578,0.0008659125,0.002492699,0.0004503396,0.0009153638,0.0006198094,0.0004118267,0.001047966],"category_scores_gemma":[0.002230125,0.0003065612,0.001032007,0.002608737,0.0004870248,0.001243016,0.001380076,0.0006791455,0.0005236643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004249474,"about_ca_system_score_gemma":0.0007768636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001564282,"about_ca_topic_score_gemma":0.002097224,"domain_scores_codex":[0.9991605,0.0001749639,0.0000635566,0.0003480804,0.0001828369,0.00006999332],"domain_scores_gemma":[0.9989799,0.0003423978,0.0002301207,0.0002122107,0.0001631056,0.00007227953],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001420837,0.0003753256,0.09347734,0.001289473,0.0007873933,0.001137114,0.0008906832,0.051328,0.2937243,0.02673207,0.00827163,0.5205658],"study_design_scores_gemma":[0.00009785104,0.0009982162,0.1149198,0.0001503735,0.0005141197,0.003214851,0.0006669162,0.6409529,0.1143946,0.08386698,0.03996465,0.0002587097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1097404,0.0008718878,0.8791215,0.0002507952,0.0000582544,0.0002150583,0.003062478,0.004513362,0.002166271],"genre_scores_gemma":[0.4715911,0.0004962946,0.5211563,0.0002309329,0.00007857345,0.0002189981,0.004995574,0.0003979196,0.0008343303],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002492699,"threshold_uncertainty_score":0.005015194,"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."}}