{"id":"W3046214778","doi":"10.1093/bioinformatics/btaa683","title":"Hive Panel Explorer: an interactive network visualization tool","year":2020,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Cancer Agency; Genome British Columbia; University of British Columbia","funders":"Genome British Columbia; Genome Canada","keywords":"Computer science; Visualization; License; Representation (politics); MIT License; Software; Interactive visualization; Function (biology); Data science; Data visualization; Data mining; World Wide Web; Programming language; Biology","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":[0.0001486921,0.0002112823,0.0001833007,0.00002182978,0.0001166205,0.00009760321,0.0002702286,0.0001747189,0.00003846495],"category_scores_gemma":[0.00005782006,0.000197204,0.00008606116,0.0001377132,0.0000507596,0.00004634991,0.0001809066,0.000120937,0.0001117914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001628528,"about_ca_system_score_gemma":0.00006367257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001595855,"about_ca_topic_score_gemma":0.000003019559,"domain_scores_codex":[0.9988345,0.00003053745,0.0004952184,0.0001685449,0.0001515984,0.0003196137],"domain_scores_gemma":[0.9991731,0.0000115964,0.0002323156,0.000302883,0.00009667682,0.000183439],"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":[0.002461917,0.0005712162,0.005029974,0.0009719353,0.001501955,0.00001970351,0.05610493,0.06016707,0.02021502,0.01990925,0.4689654,0.3640817],"study_design_scores_gemma":[0.001584217,0.00167848,0.0008682506,0.00005485382,0.00008557958,0.00002780317,0.003514591,0.7621979,0.00598962,0.0006284097,0.2223197,0.001050534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2226985,0.0003880791,0.7641136,0.0005469641,0.0008994744,0.001058517,0.000117767,0.0001946229,0.009982481],"genre_scores_gemma":[0.9618081,0.0002199483,0.02640608,0.008197906,0.001594381,0.00002963316,0.001598932,0.00005031419,0.0000946669],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7391096,"threshold_uncertainty_score":0.8041747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02603270740941667,"score_gpt":0.2550425047605303,"score_spread":0.2290097973511136,"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."}}