{"id":"W2467366894","doi":"10.1016/j.ymeth.2016.07.005","title":"Essential protein discovery based on a combination of modularity and conservatism","year":2016,"lang":"en","type":"article","venue":"Methods","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"National Natural Science Foundation of China","keywords":"Interactome; Modularity (biology); Computational biology; Biology; Identification (biology); Protein domain; Organism; Protein–protein interaction; Gene; Genetics","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":[],"consensus_categories":[],"category_scores_codex":[0.000440449,0.00006375203,0.00008863075,0.00001889336,0.00002283687,0.000009692181,0.00005260552,0.00008248178,0.000005114918],"category_scores_gemma":[0.00007165955,0.00004408351,0.00003116687,0.00002544189,0.00007292054,0.000003676062,0.00003996769,0.00002842496,3.817208e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003835571,"about_ca_system_score_gemma":0.00002527267,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007195308,"about_ca_topic_score_gemma":0.000002254343,"domain_scores_codex":[0.9995193,0.0001123759,0.0001299573,0.0001092492,0.00005037197,0.00007867119],"domain_scores_gemma":[0.9996739,0.000029768,0.00007136616,0.0001729126,0.00002815794,0.00002388437],"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":[0.0000806587,0.00004154297,0.0005314424,0.00002778348,0.00001461238,2.040199e-7,0.000009262697,0.00001089243,0.9330275,0.002991948,0.0001337254,0.06313042],"study_design_scores_gemma":[0.001332612,0.0003777964,0.004616425,0.0000645549,0.00001246114,0.000001171871,0.000006611049,0.00844915,0.9744403,0.007277399,0.003269914,0.000151576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3574044,0.00004408793,0.6417747,0.0002526314,0.00004259886,0.0001128444,0.00001079305,0.000002230806,0.0003557573],"genre_scores_gemma":[0.9021288,0.000009889356,0.09738302,0.0001317142,0.00002736779,0.00001036383,0.00001152401,0.00000557379,0.0002917435],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5447244,"threshold_uncertainty_score":0.1797673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01101053612781507,"score_gpt":0.2918870223089832,"score_spread":0.2808764861811682,"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."}}