{"id":"W2040316385","doi":"10.1016/j.drudis.2006.04.011","title":"Informatics solutions for high-throughput proteomics","year":2006,"lang":"en","type":"review","venue":"Drug Discovery Today","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proteomics; Informatics; Computer science; Automation; Data science; Software; Proteogenomics; Data mining; Genomics; Engineering; Biology","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":[0.0001873609,0.0006081772,0.001231931,0.00009436702,0.0004071252,0.0001980562,0.0006857949,0.0004574705,0.00004096271],"category_scores_gemma":[0.0000401907,0.0005427952,0.0006686961,0.000217441,0.0001146926,0.0004607052,0.0003164075,0.0005506527,0.0000484923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003704554,"about_ca_system_score_gemma":0.00036575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000453131,"about_ca_topic_score_gemma":0.00001131912,"domain_scores_codex":[0.9975231,0.00001423944,0.00119115,0.0004211771,0.0001925292,0.0006578352],"domain_scores_gemma":[0.9976931,0.0001944965,0.0009038727,0.001056279,0.00007550358,0.00007670799],"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":[0.00001523608,0.0004711701,0.000001094301,0.06782448,0.0003277722,0.000002479397,0.0001186007,0.000244299,0.00005196301,0.2265239,0.08073831,0.6236807],"study_design_scores_gemma":[0.0001630196,0.000007226231,1.860768e-8,0.002778327,0.0003744682,0.000008952785,0.00002035137,0.00005108907,0.0004250232,0.01239529,0.9831382,0.0006380429],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000005515832,0.7314425,0.2558534,0.00005215672,0.00009938754,0.002274709,0.004787307,0.0003364694,0.00514866],"genre_scores_gemma":[0.000004204761,0.881155,0.09463987,0.00003382402,0.0004706824,0.006936472,0.005455726,0.0001383022,0.01116591],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9023999,"threshold_uncertainty_score":0.9997023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277328119398315,"score_gpt":0.3117386055116829,"score_spread":0.2840057935718514,"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."}}