{"id":"W3023245547","doi":"10.1101/2020.05.01.070805","title":"Kaleidoscope: A New Bioinformatics Pipeline Web Application for In Silico Hypothesis Exploration of Omics Signatures","year":2020,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Diabetes Canada; University of Toronto; Centre for Addiction and Mental Health","funders":"National Institute of Mental Health","keywords":"Kaleidoscope; Computer science; In silico; Upload; Pipeline (software); Interface (matter); Scalability; Task (project management); User interface; Process (computing); Data science; Bioinformatics; World Wide Web; Database; Biology; Gene; Engineering","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":[0.002818824,0.002325373,0.001307051,0.002557693,0.0006385986,0.002079093,0.002694411,0.001440518,0.03776976],"category_scores_gemma":[0.005865186,0.001344599,0.002511391,0.001065338,0.0007341512,0.002364146,0.004385454,0.002245191,0.0155271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008374171,"about_ca_system_score_gemma":0.001972371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002187165,"about_ca_topic_score_gemma":0.00246083,"domain_scores_codex":[0.9989655,0.0001664108,0.0001202567,0.0003042626,0.000358363,0.00008516682],"domain_scores_gemma":[0.997095,0.001907686,0.0002161233,0.0002549242,0.0002837188,0.0002425656],"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":[0.003804167,0.0005553936,0.01176202,0.006763576,0.001315208,0.00402736,0.00162194,0.01995066,0.08011372,0.02011925,0.5403354,0.3096314],"study_design_scores_gemma":[0.002487618,0.0004511905,0.01670021,0.001123233,0.0004261371,0.002620689,0.0003923951,0.2615887,0.07476829,0.06478732,0.5738444,0.0008098751],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.006952392,0.0007310185,0.3363638,0.0006254688,0.0002004871,0.0008391582,0.02470958,0.6228152,0.006763012],"genre_scores_gemma":[0.09862471,0.002085316,0.7086369,0.002902023,0.000187382,0.004619687,0.07231874,0.09302095,0.01760429],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03776976,"threshold_uncertainty_score":0.1263524,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01793360106576648,"score_gpt":0.2242065771729592,"score_spread":0.2062729761071928,"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."}}