{"id":"W2085439268","doi":"10.1016/j.ab.2010.12.003","title":"Peptide-to-protein distribution versus a competition for significance to estimate error rate in blood protein identification","year":2010,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Identification (biology); Competition (biology); Distribution (mathematics); Biology; Computational biology; Chemistry; Mathematics; Ecology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.05580405,0.001143226,0.001500924,0.002182212,0.0007859374,0.001478,0.002303615,0.004210589,0.001392448],"category_scores_gemma":[0.1114269,0.0007159516,0.00139266,0.001678076,0.00414484,0.002525832,0.00162379,0.002326828,0.0004418087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001407595,"about_ca_system_score_gemma":0.001121872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355141,"about_ca_topic_score_gemma":0.0009975928,"domain_scores_codex":[0.9679657,0.02081276,0.001339186,0.004491501,0.004109775,0.001281163],"domain_scores_gemma":[0.7738417,0.1975908,0.006016741,0.01285983,0.007825465,0.001865403],"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":[0.02647474,0.001933473,0.2103968,0.00131397,0.002379463,0.001527913,0.0009292774,0.1685342,0.3918286,0.02087565,0.001916972,0.1718889],"study_design_scores_gemma":[0.0003200306,0.005946664,0.06719145,0.00008672114,0.0006911484,0.003241616,0.0001664264,0.7339574,0.1760439,0.01052095,0.001501492,0.0003322123],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6455046,0.00123706,0.3500306,0.000392637,0.0001482052,0.0002107159,0.0002992997,0.0007159964,0.001460851],"genre_scores_gemma":[0.9311928,0.0001905613,0.06610133,0.0003464647,0.00007384289,0.0001766695,0.0003606018,0.0002870637,0.001270835],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05580405,"threshold_uncertainty_score":0.2951236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01436798457731802,"score_gpt":0.3215457754305736,"score_spread":0.3071777908532555,"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."}}