{"id":"W2078008084","doi":"10.1126/science.1242063","title":"Control Profiles of Complex Networks","year":2014,"lang":"en","type":"article","venue":"Science","topic":"Gene Regulatory Network Analysis","field":"Biochemistry, Genetics and Molecular Biology","cited_by":394,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Complex network; Computer science; Statistic; Control (management); Complex system; Distributed computing; Topology (electrical circuits); Network topology; Function (biology); Small-world network; Control system; Control function; Artificial intelligence; Computer network; Mathematics; Engineering; Statistics; Biology","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":[0.001575231,0.0003473297,0.0003593192,0.0023388,0.0004260825,0.001457833,0.0006393117,0.0005082713,0.001485703],"category_scores_gemma":[0.01418176,0.0002294833,0.0002923116,0.0009949114,0.001448865,0.002084705,0.0006429101,0.0005839388,0.000193316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00106989,"about_ca_system_score_gemma":0.0004061973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001273721,"about_ca_topic_score_gemma":0.0005942638,"domain_scores_codex":[0.999014,0.0002960799,0.00006173752,0.0002319239,0.0002909231,0.0001052986],"domain_scores_gemma":[0.991677,0.004529865,0.001427474,0.0009426686,0.0009061043,0.0005167889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003990771,0.0001383595,0.02638662,0.0002356085,0.0001020702,0.0002903946,0.0006996982,0.2780501,0.03270124,0.6095527,0.00222103,0.0492231],"study_design_scores_gemma":[0.0000338808,0.000091574,0.0112785,0.00003123836,0.00002169844,0.0001807644,0.0001686197,0.6891938,0.007814438,0.2889214,0.002204992,0.00005915429],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7059072,0.0005811361,0.2802482,0.0004635583,0.00002688812,0.0001230343,0.0008131037,0.0005762168,0.0112607],"genre_scores_gemma":[0.9922804,0.0001148356,0.006782589,0.00003623756,0.00001568468,0.00005123623,0.0002159746,0.00003194055,0.0004711724],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0023388,"threshold_uncertainty_score":0.008330703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00731421571316684,"score_gpt":0.2333693393838749,"score_spread":0.2260551236707081,"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."}}