{"id":"W4238167764","doi":"10.3410/f.720591107.793501202","title":"Faculty Opinions recommendation of Linear motif-mediated interactions have contributed to the evolution of modularity in complex protein interaction networks.","year":2015,"lang":"en","type":"dataset","venue":"Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Modularity (biology); Motif (music); Computational biology; Computer science; Data science; Biology; Evolutionary biology; Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001297299,0.001442362,0.0009590993,0.002488309,0.0007755536,0.002261761,0.002027112,0.00152345,0.02882871],"category_scores_gemma":[0.007677048,0.0004758198,0.001311956,0.004016738,0.0004625141,0.001415713,0.001481077,0.001553697,0.02419316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001327104,"about_ca_system_score_gemma":0.001833662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01764721,"about_ca_topic_score_gemma":0.05356086,"domain_scores_codex":[0.998628,0.0002398816,0.0001372837,0.0005118668,0.0003393766,0.0001436059],"domain_scores_gemma":[0.9973875,0.0008169462,0.0004329826,0.0006134856,0.0004818271,0.000267258],"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":[0.0003609906,0.00006715085,0.01996564,0.001805243,0.0002710128,0.000094811,0.00006726282,0.001563067,0.0009743494,0.002808848,0.9569626,0.01505895],"study_design_scores_gemma":[0.0003304085,0.00004389781,0.04755943,0.0005532134,0.0002393337,0.0003235782,0.0001155006,0.003878971,0.002267117,0.005968102,0.9386632,0.00005726474],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.004107519,0.0009042067,0.0009298929,0.0004422453,0.00009873282,0.00002059499,0.9884609,0.0009098041,0.004125979],"genre_scores_gemma":[0.007963726,0.0003686596,0.001245834,0.0001859924,0.00002698574,0.00003823305,0.9876401,0.0001224224,0.002407947],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.02882871,"threshold_uncertainty_score":0.09644163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0319175702382779,"score_gpt":0.3442857257622418,"score_spread":0.3123681555239639,"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."}}