{"id":"W2992749711","doi":"10.1074/mcp.r119.001803","title":"Next-generation Interactomics: Considerations for the Use of Co-elution to Measure Protein Interaction Networks","year":2019,"lang":"en","type":"review","venue":"Molecular & Cellular Proteomics","topic":"Biotin and Related Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; Michael Smith Health Research BC; Simon Fraser University; University of British Columbia","funders":"Genome British Columbia; Government of Canada; Genome Canada","keywords":"Measure (data warehouse); Elution; Computer science; Chemistry; Chromatography; Data mining","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003777672,0.0004897756,0.0007901761,0.0001206868,0.0002219461,0.0001665712,0.0002447451,0.0008049004,0.000007837322],"category_scores_gemma":[0.0004776139,0.0003693149,0.0006845271,0.0001484912,0.00008763218,0.00001486529,0.0001583593,0.0004730813,0.00001358007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008555202,"about_ca_system_score_gemma":0.0002491974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000171056,"about_ca_topic_score_gemma":0.00002063154,"domain_scores_codex":[0.997764,0.0003276638,0.0007815504,0.0006335616,0.0001798374,0.0003134202],"domain_scores_gemma":[0.9981403,0.00008944784,0.0005877684,0.0007622768,0.0003496531,0.00007049793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001388542,0.0001507205,8.368644e-7,0.003007324,0.001951902,0.000005128837,0.00009674911,0.008592545,0.8520175,0.0004453807,0.005448309,0.1281447],"study_design_scores_gemma":[0.0002827551,0.0002809603,1.018487e-7,0.001522687,0.0007880091,0.00002154169,0.00002075555,0.003995069,0.2588328,0.00001010945,0.7337903,0.000454955],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009095036,0.7624997,0.227103,0.0001308343,0.0006675852,0.008540023,0.0001108915,0.00001685826,0.0000215923],"genre_scores_gemma":[0.006760609,0.9758307,0.01185941,0.0003142555,0.0007056547,0.001840172,0.001979884,0.0001953459,0.0005139859],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.728342,"threshold_uncertainty_score":0.9998759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1588248360111834,"score_gpt":0.3209907565842637,"score_spread":0.1621659205730803,"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."}}