{"id":"W3138904370","doi":"10.1101/2021.03.22.436502","title":"VICTOR: A visual analytics web application for comparing cluster sets","year":2021,"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":"University of Waterloo","funders":"Hellenic Foundation for Research and Innovation","keywords":"Cluster analysis; Computer science; Visualization; Visual analytics; Data mining; Analytics; Spectral clustering; Graph; Process (computing); Artificial intelligence; Pattern recognition (psychology); Theoretical computer science","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":[0.002348868,0.001745175,0.001109896,0.004650177,0.0005654751,0.001909624,0.002422716,0.00108965,0.05686087],"category_scores_gemma":[0.007207164,0.0007556551,0.001239407,0.002185575,0.0005636812,0.002157412,0.00344854,0.001558108,0.01202906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008064777,"about_ca_system_score_gemma":0.0009554974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001920208,"about_ca_topic_score_gemma":0.002077039,"domain_scores_codex":[0.9989443,0.0002125899,0.0001085952,0.0001984273,0.0004311517,0.0001048447],"domain_scores_gemma":[0.9962149,0.002494753,0.0002360872,0.0003721654,0.0005053791,0.0001765893],"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":[0.002774009,0.0005633911,0.007921468,0.00348003,0.0006911978,0.001255931,0.001666019,0.01792482,0.03859658,0.02658188,0.6139138,0.2846309],"study_design_scores_gemma":[0.002056812,0.0005034855,0.02034382,0.00114757,0.0002229884,0.001164491,0.0007868447,0.4226796,0.06788491,0.07901094,0.403655,0.0005435303],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01629627,0.000373313,0.3319488,0.0006225532,0.0002163751,0.0006468054,0.03765994,0.6020195,0.01021649],"genre_scores_gemma":[0.1570942,0.000746838,0.6241915,0.001249259,0.0002461709,0.004422108,0.0809807,0.1144811,0.01658816],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.05686087,"threshold_uncertainty_score":0.1902186,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01142867379126685,"score_gpt":0.2404648878745728,"score_spread":0.229036214083306,"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."}}