{"id":"W2084409894","doi":"10.1155/2014/968173","title":"ABC and IFC: Modules Detection Method for PPI Network","year":2014,"lang":"en","type":"article","venue":"BioMed Research International","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Shaanxi Normal University; Fundamental Research Funds for the Central Universities; Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Cluster analysis; Fuzzy clustering; Computer science; Data mining; Cluster (spacecraft); Fuzzy logic; Correlation clustering; Artificial intelligence; Set (abstract data type); Pattern recognition (psychology)","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":[0.001527718,0.00007497491,0.00007135558,0.00008007052,0.0001580026,0.00006708351,0.0001873474,0.0001214624,0.00001194337],"category_scores_gemma":[0.0001680167,0.00006737184,0.00004501951,0.00007049824,0.00009024898,0.000004552649,0.0001550767,0.00009716616,0.000006088288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001829892,"about_ca_system_score_gemma":0.00001961748,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001489443,"about_ca_topic_score_gemma":0.000037349,"domain_scores_codex":[0.999137,0.00007684279,0.0001514634,0.0002047759,0.0001636553,0.000266269],"domain_scores_gemma":[0.9994391,0.00008051394,0.00004136533,0.0001469353,0.0002090569,0.000082994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003819531,0.00005149972,0.0002854895,0.00004605444,0.0002145733,3.360668e-7,0.00005842972,0.0005782734,0.3183256,0.01172854,0.05369349,0.6146357],"study_design_scores_gemma":[0.0006648447,0.0002932591,0.0009836494,0.00001193451,0.00000417497,0.00001192244,0.00002833392,0.1630845,0.01950349,0.01272322,0.8025609,0.00012981],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02960297,0.0002700595,0.9642542,0.001011673,0.001063576,0.0003208917,0.00002829326,0.00001171382,0.003436596],"genre_scores_gemma":[0.919233,0.0001905261,0.07397766,0.0002538825,0.0039143,0.0001195536,0.0002508613,0.00002234211,0.002037925],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8902766,"threshold_uncertainty_score":0.2747344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02847210922278985,"score_gpt":0.3642307829637235,"score_spread":0.3357586737409336,"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."}}