{"id":"W4282939468","doi":"10.1093/nar/gkac376","title":"OmicsNet 2.0: a web-based platform for multi-omics integration and network visual analytics","year":2022,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":174,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Genome Canada","keywords":"Biology; Analytics; Computational biology; Omics; Visual analytics; Web application; Data science; Bioinformatics; Visualization; World Wide Web; Computer science; Data mining","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001506818,0.0001395125,0.000161519,0.00009927425,0.0006184831,0.00008712029,0.0002692922,0.0001499691,0.00003532024],"category_scores_gemma":[0.00007957085,0.0001397985,0.00008055522,0.0002182932,0.0001444737,0.000006001209,0.0004040967,0.0003947179,0.000003981953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007725821,"about_ca_system_score_gemma":0.0002251767,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001156,"about_ca_topic_score_gemma":0.0000544575,"domain_scores_codex":[0.9985909,0.00007300074,0.0002683807,0.0002970198,0.000258767,0.000511931],"domain_scores_gemma":[0.9993237,0.0000613004,0.00007017878,0.0002742052,0.0001503321,0.0001203368],"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":[0.007773708,0.001421677,0.01420675,0.0004710784,0.0008334572,0.0000199919,0.00153094,0.07360766,0.2737829,0.02223419,0.2858849,0.3182328],"study_design_scores_gemma":[0.001759379,0.0009802176,0.0003248184,0.0000067273,0.00001269011,0.000005734274,0.0004757868,0.8720932,0.001612503,0.0005441838,0.1219793,0.0002055022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9078246,0.000743866,0.08783314,0.0004680615,0.0003322619,0.00135179,0.0002353307,0.00003098786,0.001179946],"genre_scores_gemma":[0.9816037,0.0001273308,0.0158971,0.0004438459,0.0003684013,0.0001586371,0.0006868704,0.00004120833,0.0006728995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7984855,"threshold_uncertainty_score":0.5700818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04666897519123652,"score_gpt":0.3419103665827385,"score_spread":0.295241391391502,"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."}}