{"id":"W2079215756","doi":"10.1074/mcp.h900009-mcp200","title":"The Moscow HUPO Human Proteome Project Workshop","year":2009,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Proteome; Human proteome project; Library science; Political science; Chemistry; Operations research; Proteomics; Computer science; Engineering; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01103226,0.001169704,0.0007258364,0.001511455,0.001328182,0.004130512,0.00167098,0.002777134,0.01962673],"category_scores_gemma":[0.002832996,0.0004170742,0.001290269,0.00113586,0.0006534502,0.002465795,0.004949878,0.003646288,0.01223162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003169727,"about_ca_system_score_gemma":0.006064028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001699495,"about_ca_topic_score_gemma":0.001933447,"domain_scores_codex":[0.9980281,0.0005162138,0.0001180414,0.0003748522,0.0006782364,0.0002844617],"domain_scores_gemma":[0.9978388,0.0002374426,0.0001122489,0.0001034728,0.0007376609,0.0009703752],"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":[0.0001993275,0.00006693263,0.0003463537,0.0004276024,0.0000276777,0.0003409562,0.0002157194,0.0001711285,0.002244709,0.007558624,0.9047629,0.08363805],"study_design_scores_gemma":[0.000009199378,0.00002280393,0.0006575848,0.0002655208,0.000006164731,0.0001172647,0.0001484226,0.00005920075,0.0006604324,0.001371924,0.9966733,0.000008081329],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01438669,0.2183306,0.02175033,0.3465822,0.2266977,0.0007464093,0.0120146,0.001986863,0.1575046],"genre_scores_gemma":[0.05438551,0.2540143,0.03952945,0.08433532,0.04483645,0.002183188,0.0438272,0.001742312,0.4751463],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01962673,"threshold_uncertainty_score":0.06565797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308366685048945,"score_gpt":0.2822564725488269,"score_spread":0.2691728056983374,"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."}}