{"id":"W6963985002","doi":"10.25345/c5qf8jx08","title":"MassIVE MSV000096198 - SysQuan: repurposing SILAC mice for affordable absolute quantitation of the human proteome","year":2024,"lang":"en","type":"dataset","venue":"UC San Diego","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Stable isotope labeling by amino acids in cell culture; Repurposing; Proteome; Proteomics; Human proteome project; Quantitative proteomics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001066793,0.0008006226,0.0009847831,0.0006004327,0.0005247732,0.0002895279,0.00140744,0.0005894026,0.0003904641],"category_scores_gemma":[0.0006596504,0.0006405259,0.0006941836,0.0009207108,0.000331657,0.0003167024,0.0004895934,0.000863308,0.003992212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005469051,"about_ca_system_score_gemma":0.0003634088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000715216,"about_ca_topic_score_gemma":0.002947437,"domain_scores_codex":[0.9955456,0.0002659127,0.001267179,0.001140419,0.0009419929,0.0008389562],"domain_scores_gemma":[0.9955407,0.0003407684,0.001594975,0.001990953,0.0004083072,0.0001243214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001194258,0.0001489645,0.000005803084,0.004161015,0.0003654452,0.00001814911,0.0001796994,0.00009967515,0.01996819,0.0006532817,0.9742529,0.00002743147],"study_design_scores_gemma":[0.0007097232,0.0003089584,0.00006740181,0.003037807,0.001238204,0.00001712481,0.0002841643,0.0002548649,0.008238856,0.002203237,0.9828489,0.0007907636],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.002610636,0.001405922,0.00002417838,0.00008537139,0.00133653,0.006194081,0.9878008,0.0001971447,0.0003453301],"genre_scores_gemma":[0.001613768,0.00002142707,0.0008521085,0.00007246088,0.0005970634,0.001465415,0.9934641,0.000397268,0.001516369],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.01172933,"threshold_uncertainty_score":0.9996046,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03253215593168195,"score_gpt":0.3178077937214371,"score_spread":0.2852756377897552,"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."}}