{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001034455,0.001550961,0.001141563,0.009082792,0.001279623,0.001881143,0.001834118,0.001483204,0.005702984],"category_scores_gemma":[0.004360475,0.0004067919,0.001181685,0.005305459,0.0006391001,0.001706407,0.000999426,0.0009981623,0.002623095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120548,"about_ca_system_score_gemma":0.001474069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01129988,"about_ca_topic_score_gemma":0.007374899,"domain_scores_codex":[0.9987923,0.000162324,0.00007832002,0.0003122037,0.0005394627,0.000115274],"domain_scores_gemma":[0.9988334,0.0002195628,0.0001457343,0.0001632132,0.0005847509,0.00005336695],"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":[0.0002817588,0.0001669756,0.006499667,0.000725131,0.0002827442,0.0003060017,0.0003327102,0.06533247,0.02235809,0.02157958,0.03445517,0.8476797],"study_design_scores_gemma":[0.00005394533,0.00005888835,0.005266482,0.00005639067,0.00008297187,0.0006693701,0.0001195351,0.9272316,0.02006427,0.01812428,0.02816463,0.000107527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01321595,0.0005231714,0.9701213,0.0002320427,0.00009792172,0.000257257,0.00136496,0.008804712,0.005382625],"genre_scores_gemma":[0.1832322,0.0005080672,0.8046665,0.0002255114,0.00006424096,0.0006668285,0.005000466,0.0006255299,0.005010623],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01129988,"threshold_uncertainty_score":0.02246821,"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."}}