{"id":"W6963927417","doi":"10.25345/c5wh2ds56","title":"MassIVE MSV000096702 - Proximity-based identification of ubiquitin substrates","year":2024,"lang":"en","type":"dataset","venue":"California Digital Library","topic":"Global Energy Security and Policy","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre","funders":"","keywords":"Identification (biology); Ubiquitin; Ubiquitin-Protein Ligases; Ubiquitin ligase","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":["insufficient_payload"],"category_scores_codex":[0.00006716561,0.0005244983,0.0005418746,0.0003424107,0.00006006786,0.0007235003,0.0007707229,0.0006168611,0.001369404],"category_scores_gemma":[0.0001043319,0.0004910502,0.0003738474,0.0005781776,0.0002577911,0.0008970793,0.0002344828,0.0004906615,0.02159429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004106056,"about_ca_system_score_gemma":0.0004380898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001502404,"about_ca_topic_score_gemma":0.00003774018,"domain_scores_codex":[0.9975492,0.0000675948,0.0009356869,0.0006008776,0.0004032992,0.0004433756],"domain_scores_gemma":[0.998383,0.0001383226,0.0004236877,0.0007791391,0.00005277075,0.0002231065],"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":[0.00006041818,0.000170598,0.000006706171,0.001170155,0.00009955551,0.00008426535,0.000005762321,0.0003175189,0.00002084169,0.02301165,0.9745707,0.0004818555],"study_design_scores_gemma":[0.0001834698,0.00005626458,0.000005912842,0.000300282,0.0001030719,0.000007088562,0.00001505195,0.00007219853,0.008390586,0.01333027,0.977068,0.0004677918],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0005664261,0.0006321801,0.000001462523,0.0005693358,0.0003762398,0.0002133921,0.9839853,0.0002719485,0.01338369],"genre_scores_gemma":[0.01122241,0.00007157215,0.00001784447,0.0004992692,0.000490375,0.00006225902,0.9868447,0.0000825882,0.0007089683],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02022488,"threshold_uncertainty_score":0.9997541,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008984382456895002,"score_gpt":0.2201078626711489,"score_spread":0.2111234802142539,"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."}}