{"id":"W2872545753","doi":"10.1074/mcp.tir118.000902","title":"A Versatile Lentiviral Delivery Toolkit for Proximity-dependent Biotinylation in Diverse Cell Types","year":2018,"lang":"en","type":"article","venue":"Molecular & Cellular Proteomics","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Amgen (Canada); Lunenfeld-Tanenbaum Research Institute","funders":"Canadian Institutes of Health Research; Canada Research Chairs; Canada First Research Excellence Fund; Canada Foundation for Innovation; Ontario Genomics Institute; Government of Canada","keywords":"Biotinylation; Computational biology; Chemistry; Cell type; Cell; Computer science; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.0002450441,0.0002231397,0.0001789161,0.00008039016,0.0001437275,0.00003571411,0.0001970562,0.0003238598,0.00001605038],"category_scores_gemma":[0.00004906202,0.0002225616,0.0001399798,0.0001139891,0.0001403451,0.000009936839,0.0001978058,0.0001474028,0.0000374729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004135559,"about_ca_system_score_gemma":0.00007168589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003035052,"about_ca_topic_score_gemma":0.00004738744,"domain_scores_codex":[0.998676,0.00007469307,0.0002504033,0.0004954812,0.0001447418,0.0003587046],"domain_scores_gemma":[0.9993818,0.000006240436,0.0001093624,0.0003106955,0.0001369745,0.00005491883],"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":[0.0002107195,0.0001279388,0.0006773825,0.0000491767,0.00006406428,0.00001114378,0.000138347,0.00006657583,0.9974591,0.0001092134,0.0004766073,0.0006097239],"study_design_scores_gemma":[0.001303278,0.0004646305,0.0001202493,0.0000152238,0.00004526157,0.000002273728,0.0001070098,0.000672555,0.9904934,0.0001356044,0.00635577,0.0002847008],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9787083,0.0008293426,0.01765425,0.0001661776,0.0002956134,0.001166051,0.00002953985,0.00002182284,0.001128914],"genre_scores_gemma":[0.9916802,0.00009593882,0.006497781,0.0001393241,0.0002956665,0.00006569262,0.0001679856,0.00003993934,0.001017457],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01297192,"threshold_uncertainty_score":0.9075797,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008903363370496704,"score_gpt":0.2211231552974344,"score_spread":0.2122197919269377,"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."}}