{"id":"W4242733774","doi":"10.1371/journal.pcbi.1003816","title":"Correction: Exploration of the Dynamic Properties of Protein Complexes Predicted from Spatially Constrained Protein-Protein Interaction Networks","year":2014,"lang":"en","type":"article","venue":"PLoS Computational Biology","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Protein–protein interaction; Computational biology; Protein dynamics; Computer science; Protein structure; Bioinformatics; Chemistry; Biology; Biochemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006126418,0.00257778,0.002634951,0.0041479,0.002942675,0.003939828,0.005065434,0.004761141,0.1474967],"category_scores_gemma":[0.1537855,0.001403526,0.001834237,0.004855903,0.00287743,0.002970473,0.003241817,0.007565718,0.0405346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002767154,"about_ca_system_score_gemma":0.005313952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009845481,"about_ca_topic_score_gemma":0.01017183,"domain_scores_codex":[0.9937122,0.001304701,0.001206426,0.001109686,0.002061184,0.000605771],"domain_scores_gemma":[0.9278533,0.0214435,0.003159042,0.008687337,0.0352514,0.003605292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002443951,0.00001379328,0.0005344228,0.0007681096,0.000147297,0.000684449,0.0001121806,0.000400002,0.0004370338,0.002412738,0.980437,0.01380852],"study_design_scores_gemma":[0.000584601,0.0001126621,0.007367647,0.0008737302,0.0004368243,0.004393409,0.0004213332,0.0056718,0.003346107,0.01632091,0.960245,0.0002259632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"editorial","genre_gemma":"empirical","genre_scores_codex":[0.002155401,0.001454986,0.009342908,0.05044239,0.920603,0.00007476949,0.01113916,0.002259677,0.00252774],"genre_scores_gemma":[0.2382317,0.009015366,0.05998024,0.07585058,0.306445,0.001309639,0.03082174,0.0132897,0.265056],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1474967,"threshold_uncertainty_score":0.4934257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01407758125236552,"score_gpt":0.2164370539169139,"score_spread":0.2023594726645483,"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."}}