{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003141244,0.0001327951,0.0001895189,0.0004804309,0.00008340388,0.0002670066,0.000640123,0.00007237685,5.166518e-7],"category_scores_gemma":[0.00001064053,0.0001271032,0.00004580817,0.00110199,0.00002432222,0.001883234,0.0002578592,0.00008541084,0.000126074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001002102,"about_ca_system_score_gemma":0.0000643549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002357799,"about_ca_topic_score_gemma":0.000001219077,"domain_scores_codex":[0.9987568,0.00002623563,0.0004650608,0.0001570716,0.0003140871,0.0002807878],"domain_scores_gemma":[0.9992862,0.000008911767,0.000115894,0.0004465118,0.00005972808,0.00008276085],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002879558,0.0000274034,0.0003353432,0.0001572632,0.00001429573,0.000009118731,0.003735169,0.6832605,0.000002818753,0.1045408,0.1818602,0.02605422],"study_design_scores_gemma":[0.0002661319,0.0000156914,0.00002093883,0.00003558262,0.000003070773,0.000002446588,0.0003621951,0.9960923,0.00002114007,0.001643398,0.001378744,0.0001583219],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005317979,0.000009546549,0.9967561,0.0001731886,0.0008999804,0.0001672421,0.00001814663,0.00047469,0.0009693012],"genre_scores_gemma":[0.01029003,0.0000691235,0.9882972,0.0004866825,0.00006867598,0.00001965425,0.0001944547,0.0000125232,0.0005616398],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3128318,"threshold_uncertainty_score":0.518312,"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."}}