{"id":"W2056233183","doi":"10.1002/pmic.200600211","title":"Integrating forward and reverse proteomics to unravel protein function","year":2006,"lang":"en","type":"review","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Proteomics; Computational biology; Function (biology); Protein function; Posttranslational modification; Biology; Proteogenomics; Computer science; Evolutionary biology; Genomics; 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":[0.0003222027,0.0008778346,0.001450601,0.0002178653,0.000314739,0.0001770856,0.0005384141,0.0008492413,0.00005136251],"category_scores_gemma":[0.0001709737,0.0008165335,0.0003668343,0.0004294773,0.00009574903,0.0001564347,0.0004260443,0.001287224,0.00006440943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004834381,"about_ca_system_score_gemma":0.0002751511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009821001,"about_ca_topic_score_gemma":0.00001585939,"domain_scores_codex":[0.9968449,0.00004098035,0.001128642,0.001135949,0.0002547567,0.0005948022],"domain_scores_gemma":[0.9977505,0.00005577699,0.0008313037,0.0009714723,0.000149058,0.0002419],"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":[0.00005298696,0.0001187356,0.000005039622,0.02461821,0.0001173537,0.000006496708,0.00004720691,0.000006788834,0.01111324,0.01200838,0.0009352046,0.9509704],"study_design_scores_gemma":[0.0001911858,0.0000658944,1.057308e-7,0.008590472,0.0002700389,0.00004057296,0.00001910427,0.00006640058,0.006067643,0.009423099,0.9742758,0.0009896316],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"methods","genre_scores_codex":[0.0001164114,0.4966224,0.4872837,0.000106936,0.00005720235,0.01089295,0.0004578121,0.0006459985,0.003816589],"genre_scores_gemma":[0.000004832473,0.4555423,0.5269015,0.00005047928,0.0003855893,0.0136735,0.0003286688,0.0002161972,0.002896889],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9733406,"threshold_uncertainty_score":0.9994286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02504344682142598,"score_gpt":0.3101203809479873,"score_spread":0.2850769341265613,"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."}}