{"id":"W1785221269","doi":"10.1186/1477-5956-5-3","title":"Methods for peptide identification by spectral comparison","year":2007,"lang":"en","type":"article","venue":"Proteome Science","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto","funders":"Genome Canada","keywords":"Identification (biology); Computational biology; Computer science; Proteomics; Data science; 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":[0.01389246,0.002320992,0.001735992,0.006692705,0.001182264,0.002640571,0.004385446,0.002016274,0.01936262],"category_scores_gemma":[0.03478063,0.0009296768,0.002196187,0.005078622,0.002376066,0.003759028,0.004004996,0.003016244,0.01362352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003618,"about_ca_system_score_gemma":0.00162525,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004649207,"about_ca_topic_score_gemma":0.0003763996,"domain_scores_codex":[0.9870271,0.004687998,0.001017539,0.002112455,0.004874432,0.0002805138],"domain_scores_gemma":[0.9815527,0.009089047,0.001657231,0.004052126,0.003374644,0.0002743141],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004277745,0.0002399604,0.001659162,0.001608447,0.000381679,0.0002273027,0.0002159742,0.01747799,0.02652028,0.09166349,0.01463637,0.8449416],"study_design_scores_gemma":[0.0002712551,0.0004190311,0.003158621,0.0006967201,0.0003113222,0.002815774,0.0002434908,0.4028865,0.05178316,0.36957,0.1674164,0.0004276841],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005290967,0.0003052788,0.9965593,0.00005542066,0.0001039814,0.0001553037,0.0001335205,0.001202327,0.0009557379],"genre_scores_gemma":[0.00815603,0.0003366708,0.9886909,0.00008687635,0.00008817219,0.0007889257,0.0004259219,0.0005125087,0.0009140123],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01936262,"threshold_uncertainty_score":0.07347119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02870553302302748,"score_gpt":0.4225090788725931,"score_spread":0.3938035458495657,"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."}}