{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004366713,0.001138802,0.001311467,0.001268514,0.001028261,0.001226723,0.001422094,0.0008366992,0.004304173],"category_scores_gemma":[0.01007626,0.0003904555,0.001293144,0.001178831,0.0006669458,0.001470682,0.00140863,0.001563317,0.002582846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001485907,"about_ca_system_score_gemma":0.002900313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01005102,"about_ca_topic_score_gemma":0.01493285,"domain_scores_codex":[0.9983365,0.0003365151,0.00012143,0.0003960682,0.0006183546,0.0001912253],"domain_scores_gemma":[0.9965264,0.001179376,0.0001659424,0.00073726,0.001236481,0.0001544454],"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":[0.002156452,0.000975609,0.02223838,0.0008000603,0.0006559774,0.0005048261,0.0005318507,0.2516926,0.3663721,0.01381786,0.0126855,0.3275688],"study_design_scores_gemma":[0.00004180214,0.0003424977,0.007130699,0.0000277319,0.00009504995,0.0002607305,0.0001163159,0.8513515,0.1334886,0.00331332,0.003763368,0.00006841394],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4085289,0.0007316918,0.5774236,0.0005140807,0.0001354626,0.0002014138,0.001589809,0.006598101,0.004276966],"genre_scores_gemma":[0.7825885,0.0005765266,0.1979837,0.0004251662,0.00002896223,0.0004147825,0.007349185,0.001947485,0.008685862],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01005102,"threshold_uncertainty_score":0.02309364,"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."}}