{"id":"W2142953616","doi":"10.1016/j.celrep.2015.09.009","title":"A Scalable Genome-Editing-Based Approach for Mapping Multiprotein Complexes in Human Cells","year":2015,"lang":"en","type":"article","venue":"Cell Reports","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre hospitalier universitaire de Québec","funders":"Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Computational biology; Chromatin; Biology; Genome editing; Effector; Proteomics; CRISPR; Genome; Multiprotein complex; Cas9; Robustness (evolution); DNA; Gene; Cell biology; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004375913,0.0005322276,0.0005013035,0.0007146049,0.0004119223,0.0007052614,0.001004243,0.0005481954,0.001667552],"category_scores_gemma":[0.0003223987,0.0004019505,0.0004731233,0.0004695578,0.0003595518,0.000280028,0.0008472517,0.001189726,0.001192955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000499701,"about_ca_system_score_gemma":0.0004874924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001322348,"about_ca_topic_score_gemma":0.003018041,"domain_scores_codex":[0.9995814,0.00006138996,0.00002809619,0.0001438796,0.0001512061,0.00003397085],"domain_scores_gemma":[0.9998581,0.00003276731,0.00001985229,0.00004853078,0.00001690636,0.00002372788],"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":[0.00003667996,0.00001918947,0.000187451,0.00004134526,0.00001512122,0.00007447031,0.00002037517,0.0002939471,0.9924412,0.0004938548,0.0003177135,0.006058703],"study_design_scores_gemma":[0.00003639567,0.0001102372,0.002479985,0.00001259025,0.00004180539,0.0008327672,0.00003239856,0.008434286,0.9682124,0.0006420481,0.01913713,0.0000279929],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1627304,0.00276277,0.8190168,0.00070208,0.0001600597,0.0008011405,0.005025873,0.00353011,0.005270678],"genre_scores_gemma":[0.4232273,0.002357153,0.5629637,0.0002864929,0.00003919052,0.0008198012,0.005049498,0.0003636002,0.004893124],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.001667552,"threshold_uncertainty_score":0.005578518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02142200617300855,"score_gpt":0.2730510858315443,"score_spread":0.2516290796585358,"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."}}