{"id":"W3210321882","doi":"10.5281/zenodo.3743880","title":"Proteomics of S and N proteins","year":2020,"lang":"en","type":"dataset","venue":"Figshare","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Proteomics; Computational biology; Biology; Biochemistry; Gene","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000007645579,0.0001737852,0.0002285059,0.00002071814,0.00003579069,0.00001633432,0.0002993162,0.000273043,0.04684873],"category_scores_gemma":[0.0002517762,0.0001786666,0.00005043627,0.0000605659,0.00001048614,0.00002762758,0.000272095,0.0003717502,0.0002666857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001739316,"about_ca_system_score_gemma":0.00006191792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007070647,"about_ca_topic_score_gemma":0.000002166921,"domain_scores_codex":[0.9993153,0.000002965432,0.0002030165,0.0002710503,0.00009709469,0.0001105416],"domain_scores_gemma":[0.9991766,0.00002303545,0.0002750594,0.0004065423,0.00005158557,0.00006716934],"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":[0.000004491774,0.00001490981,1.09215e-7,0.002112777,0.000009183462,0.000002361435,0.000002564436,3.160373e-7,0.001736308,0.000003949701,0.9958596,0.0002533926],"study_design_scores_gemma":[0.00006252142,0.0000130455,2.40396e-7,0.001217023,0.00001025934,0.00000362069,0.00000185014,0.00000939543,0.06668148,0.0001825646,0.9316543,0.000163724],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000001488974,0.00007226718,0.000008208566,0.00003711921,0.000001509841,0.0004865964,0.999111,0.00005957457,0.0002222305],"genre_scores_gemma":[0.000004592106,0.00004145683,0.006473316,0.00003971944,0.00009956979,0.002227862,0.9910412,0.00002183734,0.00005044552],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.06494518,"threshold_uncertainty_score":0.9540226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03090831363473362,"score_gpt":0.2854918282031017,"score_spread":0.2545835145683681,"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."}}