{"id":"W2008397405","doi":"10.1371/journal.pone.0003358","title":"Discovery and Expansion of Gene Modules by Seeking Isolated Groups in a Random Graph Process","year":2008,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre; University of British Columbia; Child and Family Research Institute","funders":"Canadian Institutes of Health Research; Michael Smith Health Research BC","keywords":"Computational biology; Identification (biology); Graph; Computer science; Modular design; Clustering coefficient; Data mining; Cluster analysis; Biology; Theoretical computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001605491,0.0005673917,0.0006050853,0.002445176,0.000404763,0.0007461626,0.0007432384,0.0007105682,0.001024482],"category_scores_gemma":[0.006296885,0.0002905309,0.001035118,0.0009142073,0.000926155,0.0008057507,0.0008916109,0.0007253323,0.0002806987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005047933,"about_ca_system_score_gemma":0.0004665671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311432,"about_ca_topic_score_gemma":0.001713072,"domain_scores_codex":[0.9995968,0.0001351238,0.00001505109,0.0001313712,0.00008075209,0.0000409259],"domain_scores_gemma":[0.9941346,0.004331396,0.0007195228,0.000310922,0.0002632136,0.0002404018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005019035,0.0001733788,0.05643941,0.0003644942,0.0002496593,0.0006637312,0.0007392952,0.7223928,0.02585652,0.05974031,0.001714434,0.1311641],"study_design_scores_gemma":[0.000008262616,0.00002717237,0.002540021,0.000007818122,0.00001640161,0.00005131914,0.00002215706,0.9778365,0.001620949,0.01756787,0.0002907158,0.0000107427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1867861,0.000172588,0.8116378,0.0001532629,0.000009412625,0.00006760822,0.0001214243,0.0003473364,0.0007045094],"genre_scores_gemma":[0.7701168,0.0001923036,0.2274964,0.00008642336,0.0000417777,0.000120647,0.0006636444,0.00010628,0.001175762],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002445176,"threshold_uncertainty_score":0.008490801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01046574982746318,"score_gpt":0.1921601824625888,"score_spread":0.1816944326351256,"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."}}