{"id":"W1990697975","doi":"10.1016/j.jprot.2008.11.015","title":"Implementation of a data repository-driven approach for targeted proteomics experiments by multiple reaction monitoring","year":2008,"lang":"en","type":"article","venue":"Journal of Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":37,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"National Cancer Institute; Canadian Blood Services","keywords":"Selected reaction monitoring; Computer science; Proteomics; Chemistry; Proteome; Mass spectrometry; Data mining; Computational biology; Tandem mass spectrometry; Chromatography; Biology","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":[0.01533744,0.002122057,0.002367196,0.003271318,0.001047627,0.004749021,0.008650166,0.002308334,0.002587185],"category_scores_gemma":[0.01569694,0.001729268,0.001501046,0.001832962,0.000992191,0.003770434,0.003209319,0.00419805,0.001952867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001207521,"about_ca_system_score_gemma":0.003407198,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002592293,"about_ca_topic_score_gemma":0.002476815,"domain_scores_codex":[0.9902273,0.001443145,0.001116531,0.002298195,0.004305506,0.0006091552],"domain_scores_gemma":[0.979647,0.006230359,0.001241299,0.007254115,0.004529604,0.001097611],"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":[0.003446386,0.002949595,0.0116569,0.001051327,0.001515672,0.001456431,0.001070868,0.0404998,0.326624,0.01038154,0.01777215,0.5815753],"study_design_scores_gemma":[0.000415155,0.0004371687,0.001969888,0.00006049794,0.0001946082,0.0005400475,0.0001103391,0.5873412,0.3866132,0.006114963,0.01588949,0.0003134295],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01578433,0.00009262614,0.9022319,0.0003320542,0.0001392147,0.0005831919,0.0003855806,0.07958912,0.0008620513],"genre_scores_gemma":[0.1729601,0.0001157367,0.8194076,0.0004282282,0.00007686001,0.0006738459,0.001757669,0.002816319,0.001763625],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01533744,"threshold_uncertainty_score":0.0811131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06259024882468153,"score_gpt":0.3541755303270011,"score_spread":0.2915852815023195,"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."}}