{"id":"W2942866405","doi":"10.1186/s12859-019-2659-y","title":"IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, mapping and mining analysis","year":2019,"lang":"en","type":"article","venue":"BMC Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Directorate for Biological Sciences; Institute for Research in Fundamental Sciences","keywords":"Benchmark (surveying); Bioconductor; Computer science; Network analysis; Protein–protein interaction; Biological network; Data mining; Computational biology; Biology; Machine learning; Theoretical computer science; Artificial intelligence; Genetics; Gene; Geography; Cartography","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":[0.006526307,0.004727126,0.003858529,0.004730072,0.001215167,0.003092391,0.006873445,0.001663623,0.06880629],"category_scores_gemma":[0.01782164,0.002137576,0.00331346,0.003776025,0.001362009,0.002742809,0.004713754,0.005624016,0.06017763],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030233,"about_ca_system_score_gemma":0.004977764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003468094,"about_ca_topic_score_gemma":0.004058192,"domain_scores_codex":[0.9968919,0.001121107,0.0002902832,0.0008418068,0.0006212957,0.0002335394],"domain_scores_gemma":[0.992717,0.003969175,0.0007893474,0.001011168,0.0010457,0.0004675776],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00110291,0.0001816369,0.004175324,0.00940481,0.002429127,0.0008107251,0.0007558743,0.009592091,0.00742079,0.02355414,0.8584351,0.08213755],"study_design_scores_gemma":[0.000720508,0.0002476626,0.006714026,0.001501395,0.001241633,0.001387322,0.0002597698,0.09077133,0.01304476,0.08162312,0.8021121,0.0003764125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.004160301,0.002812356,0.4115744,0.001549697,0.0011578,0.0006214824,0.1112829,0.4592962,0.007544775],"genre_scores_gemma":[0.03167285,0.002351459,0.696555,0.001682681,0.0003607476,0.005291868,0.1181674,0.133921,0.009997051],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.06880629,"threshold_uncertainty_score":0.23018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145027023044293,"score_gpt":0.227691884527975,"score_spread":0.2131891822235457,"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."}}