{"id":"W2889318801","doi":"10.1016/j.ab.2018.08.025","title":"Re-evaluation of the rabbit myosin protein standard used to create the empirical statistical model for decoy library searching","year":2018,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Myosin; Electrospray ionization; Chemistry; Decoy; Tandem mass spectrometry; Chromatography; Molecular biology; Mass spectrometry; Analytical Chemistry (journal); Biology; Biochemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004939712,0.0001621104,0.0001935672,0.00001585431,0.0002439171,0.00005353948,0.0005184248,0.0001477689,0.0003153722],"category_scores_gemma":[0.0007413844,0.0001051613,0.0001231241,0.0002005976,0.000364241,0.0000507056,0.0002321403,0.000258952,0.000004725032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009518386,"about_ca_system_score_gemma":0.0003398742,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003945207,"about_ca_topic_score_gemma":0.000003601031,"domain_scores_codex":[0.9984161,0.00003304642,0.0003580885,0.0003855146,0.000516884,0.0002903861],"domain_scores_gemma":[0.9985359,0.0002339377,0.000104028,0.0007445429,0.0002409845,0.0001406548],"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":[0.0005098789,0.0001892466,0.0007830689,0.0002161372,0.00009990264,5.144317e-7,0.0004039599,0.0005285164,0.9704186,0.008232592,0.01267269,0.005944899],"study_design_scores_gemma":[0.0002353633,0.00002449032,0.00001349177,0.00006594311,0.00007189265,6.556505e-7,0.00006835745,0.2049832,0.7689657,0.02475846,0.0006966771,0.0001157615],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6901733,0.00001889005,0.2968333,0.006757918,0.000006493094,0.0007793689,0.0006284486,0.00007563854,0.004726637],"genre_scores_gemma":[0.954741,0.000001686849,0.04308816,0.0002511003,0.0001408935,0.0003947057,0.00004339899,0.00003030234,0.001308722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2645677,"threshold_uncertainty_score":0.4288352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1097906672332739,"score_gpt":0.4016518479514258,"score_spread":0.2918611807181519,"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."}}