{"id":"W1966666048","doi":"10.1002/pmic.201200338","title":"Unifying protein inference and peptide identification with feedback to update consistency between peptides","year":2012,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Inference; Peptide; Identification (biology); Computer science; Consistency (knowledge bases); Computational biology; Artificial intelligence; Biology; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006250389,0.001355446,0.001912189,0.002340717,0.000737704,0.001543549,0.003690229,0.00162688,0.001752017],"category_scores_gemma":[0.02038398,0.0009984242,0.001096684,0.001392362,0.001143668,0.003740333,0.00242495,0.002098189,0.0009224926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001002948,"about_ca_system_score_gemma":0.002195621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005136728,"about_ca_topic_score_gemma":0.00665033,"domain_scores_codex":[0.9950129,0.0008755265,0.00037975,0.001560257,0.001914599,0.0002569386],"domain_scores_gemma":[0.9862293,0.00651573,0.001671523,0.002264767,0.003016084,0.0003025474],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007716076,0.0004426173,0.01123529,0.0003026135,0.0002470688,0.0003255597,0.0003495218,0.1392551,0.05677536,0.007019901,0.002838931,0.7804364],"study_design_scores_gemma":[0.0000384521,0.00008254375,0.001163956,0.00001061334,0.00002938384,0.0001314263,0.00001696427,0.9743496,0.01752479,0.005253427,0.001363738,0.00003514059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0100075,0.0001009179,0.9872477,0.00009858776,0.00003043529,0.00005819885,0.00006185418,0.002186688,0.0002080854],"genre_scores_gemma":[0.1651315,0.00009527057,0.8323283,0.000191905,0.0001303898,0.0001495883,0.0003650169,0.0003167767,0.001291238],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006250389,"threshold_uncertainty_score":0.03305566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02274177817366885,"score_gpt":0.2844379980075201,"score_spread":0.2616962198338512,"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."}}