{"id":"W4378219828","doi":"10.3389/fbinf.2023.1153800","title":"ModEx: a general purpose computer model exploration system","year":2023,"lang":"en","type":"article","venue":"Frontiers in Bioinformatics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canadian Institutes of Health Research; Genome British Columbia","keywords":"Computer science; Flexibility (engineering); Workflow; Interface (matter); Key (lock); Variety (cybernetics); Data mining; Machine learning; Parameter space; Data exploration; Visualization; Artificial intelligence; Human–computer interaction; Software engineering; Theoretical computer science; Database; Operating system; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001196032,0.001619308,0.0008782148,0.001442843,0.0004015451,0.001768721,0.002650708,0.0008971568,0.04930476],"category_scores_gemma":[0.00331407,0.0009269314,0.001182184,0.0007477914,0.0003047847,0.002278225,0.0023597,0.001300962,0.01247454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005986767,"about_ca_system_score_gemma":0.0008982941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002240422,"about_ca_topic_score_gemma":0.002078932,"domain_scores_codex":[0.9995702,0.00007613717,0.00003328198,0.0001184054,0.0001609313,0.00004103346],"domain_scores_gemma":[0.9988913,0.0005675257,0.00006256405,0.0002452544,0.0001566356,0.00007690367],"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":[0.002385106,0.0003138794,0.005286837,0.001596745,0.0003298449,0.0007992803,0.0008053264,0.03160173,0.05073139,0.01780111,0.3999199,0.4884289],"study_design_scores_gemma":[0.0007974237,0.0002695758,0.003427605,0.0002759807,0.000128389,0.0007453935,0.0001360046,0.6502393,0.0421765,0.03524862,0.266259,0.0002961158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"software","genre_gemma":"methods","genre_scores_codex":[0.004826673,0.0002404672,0.4810073,0.000167014,0.00006185386,0.0002364721,0.006210593,0.5005221,0.006727527],"genre_scores_gemma":[0.16167,0.0009252183,0.7172314,0.00104663,0.0001347201,0.002554359,0.02808522,0.06830257,0.02004985],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.04930476,"threshold_uncertainty_score":0.1649409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02890042162781355,"score_gpt":0.2599262772497422,"score_spread":0.2310258556219286,"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."}}