{"id":"W2018356910","doi":"10.1002/pmic.201090036","title":"HUPO Biological Reference Material Initiative Workshop 26 September 2009, Toronto, Canada","year":2010,"lang":"en","type":"article","venue":"PROTEOMICS","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Library science; Political science; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008100134,0.000211794,0.000199366,0.00000801609,0.0001515553,0.00004356336,0.0003650812,0.0002888922,0.003856568],"category_scores_gemma":[0.00009118582,0.0001911209,0.00003862949,0.00004994617,0.00008839164,0.0001141984,0.0001500813,0.0005050192,0.00002435922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001837074,"about_ca_system_score_gemma":0.0002428609,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03063902,"about_ca_topic_score_gemma":0.2120067,"domain_scores_codex":[0.9988807,0.00001097557,0.0002820838,0.0003683912,0.0001241041,0.0003337417],"domain_scores_gemma":[0.9990906,0.00004978103,0.0001577188,0.0004519287,0.0001235489,0.0001263814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007406253,0.00005934422,0.0006464291,0.00002224988,0.00001754648,0.000005822939,0.00003783866,0.000004818498,0.986497,0.005472056,0.005421686,0.001741151],"study_design_scores_gemma":[0.0002096058,0.00001357222,0.0001016725,0.00001928326,0.000007149198,0.00001462986,0.00009383477,0.00009757731,0.8814315,0.005899422,0.1117228,0.0003889906],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9302865,0.00003721872,0.006825815,0.0003812395,0.0001928503,0.0006156794,0.0006058805,0.0004306051,0.06062416],"genre_scores_gemma":[0.8078529,0.00007114904,0.1890115,0.0004061251,0.0004374816,0.0009667245,0.0001628717,0.00005262277,0.001038655],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1821857,"threshold_uncertainty_score":0.997054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02716092270555017,"score_gpt":0.2803532921631969,"score_spread":0.2531923694576467,"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."}}