{"id":"W2158241520","doi":"10.1186/1748-7188-6-17","title":"A new, fast algorithm for detecting protein coevolution using maximum compatible cliques","year":2011,"lang":"en","type":"article","venue":"Algorithms for Molecular Biology","topic":"Genomics and Phylogenetic Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Ontario Institute for Cancer Research; University of Toronto","funders":"","keywords":"Coevolution; Computer science; Algorithm; Data mining; Biology; Evolutionary 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":[0.001740912,0.001384156,0.001368938,0.002903497,0.001445316,0.001696619,0.003260681,0.001563607,0.00929758],"category_scores_gemma":[0.006214133,0.001026968,0.001864055,0.003239869,0.000725323,0.002775142,0.002797396,0.001760413,0.002732823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001124252,"about_ca_system_score_gemma":0.002053672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004426403,"about_ca_topic_score_gemma":0.006671683,"domain_scores_codex":[0.9985942,0.0002764336,0.00007859161,0.000425564,0.0004877343,0.0001374593],"domain_scores_gemma":[0.9977958,0.0009278135,0.0001745528,0.0004358733,0.0005007478,0.0001652581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003681178,0.0003219765,0.003494367,0.0005575888,0.0003245361,0.0002746559,0.0003259723,0.1030673,0.02833918,0.03063851,0.02786909,0.8044187],"study_design_scores_gemma":[0.0001324748,0.00006939947,0.001019439,0.00003150488,0.00004609069,0.0003595873,0.00007653004,0.944829,0.006772044,0.03172712,0.01489367,0.00004301746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005750187,0.0001366612,0.9899988,0.0001368416,0.00004633945,0.0001665444,0.0002786457,0.00234866,0.001137273],"genre_scores_gemma":[0.03316185,0.00007197261,0.9637028,0.00007433775,0.00002969334,0.0002714131,0.0008770667,0.0003673304,0.001443478],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00929758,"threshold_uncertainty_score":0.03110349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0354444934789004,"score_gpt":0.2909475539826082,"score_spread":0.2555030605037079,"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."}}