{"id":"W2512354453","doi":"10.1101/069104","title":"IMMAN: an R/Bioconductor package for Interolog protein network reconstruction, Mapping and Mining ANalysis","year":2016,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Directorate for Biological Sciences; Institute for Research in Fundamental Sciences","keywords":"Software; Function (biology); Network analysis; R package; Protein function; Protein–protein interaction; Visualization","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":[0.007546548,0.005140933,0.005112196,0.005731529,0.001832539,0.004600017,0.008351473,0.001816407,0.1089479],"category_scores_gemma":[0.01569107,0.002890408,0.003834807,0.005073455,0.001494958,0.003856547,0.005163048,0.006290966,0.1135384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001400844,"about_ca_system_score_gemma":0.00522908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004433626,"about_ca_topic_score_gemma":0.005371361,"domain_scores_codex":[0.9963027,0.001082847,0.0003269387,0.001045596,0.0009297465,0.0003121325],"domain_scores_gemma":[0.9944196,0.002466888,0.0006153156,0.001123886,0.0009631389,0.0004110382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005262455,0.00008789817,0.00189324,0.00410916,0.001147454,0.0004010764,0.0003263553,0.005337658,0.003574049,0.01882535,0.930519,0.0332525],"study_design_scores_gemma":[0.0006475156,0.0001210737,0.004359206,0.001068038,0.0008749247,0.0009621777,0.0001745123,0.05436468,0.01045566,0.08465222,0.8420135,0.0003065045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003138867,0.002923983,0.3250543,0.001384358,0.001135139,0.0004718104,0.2516631,0.4030017,0.01122663],"genre_scores_gemma":[0.0218229,0.002132111,0.5031899,0.001264511,0.0003398812,0.003692903,0.2856249,0.1686613,0.01327168],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.1089479,"threshold_uncertainty_score":0.3644668,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0120016964657105,"score_gpt":0.212445840683568,"score_spread":0.2004441442178575,"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."}}