{"id":"W3006429100","doi":"10.1093/bioinformatics/btaa104","title":"Michela<scp>Ngl</scp>o: sculpting protein views on web pages without coding","year":2020,"lang":"en","type":"article","venue":"Bioinformatics","topic":"Genetics, Bioinformatics, and Biomedical Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Eshelman Institute for Innovation, University of North Carolina at Chapel Hill; National Institute for Health and Care Research; Novartis Pharma; Canada Foundation for Innovation; Ontario Ministry of Economic Development and Innovation; Ministero dello Sviluppo Economico; National Institute on Handicapped Research; Kennedy Trust for Rheumatology Research; Genome Canada; AbbVie; European Federation of Pharmaceutical Industries and Associations; Merck KGaA; Innovative Medicines Initiative; Wellcome; Wellcome Trust; Pfizer; Boehringer Ingelheim","keywords":"Coding (social sciences); Computer science; World Wide Web; Computational biology; Biology; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005984908,0.0003744505,0.0003616968,0.0001031522,0.0002130127,0.0001750365,0.0006215791,0.0003478337,0.00001954712],"category_scores_gemma":[0.001917917,0.0003069986,0.0001930859,0.0002556904,0.0002231182,0.00002175824,0.0004026064,0.0003642519,0.0005432885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002971692,"about_ca_system_score_gemma":0.0002289662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002307444,"about_ca_topic_score_gemma":0.000007672447,"domain_scores_codex":[0.9973389,0.00006601845,0.0008452294,0.0003040596,0.0007030988,0.0007427227],"domain_scores_gemma":[0.9984259,0.00005133269,0.0003072164,0.000484744,0.0001777518,0.0005530457],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001630072,0.0002976176,0.002365556,0.002889541,0.000367084,0.00001644126,0.005391651,0.0001198679,0.7686894,0.0003965303,0.1509072,0.06839612],"study_design_scores_gemma":[0.001775733,0.001787704,0.0003504561,0.000248175,0.00003877699,0.00001533285,0.003024959,0.03853256,0.3272192,0.00003243874,0.6265458,0.0004288259],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9093761,0.0007574542,0.01526716,0.002602151,0.0004896823,0.002514793,0.0002095068,0.0002270146,0.06855607],"genre_scores_gemma":[0.9555757,0.001197835,0.03369842,0.005795361,0.001066612,0.00008091078,0.0004498218,0.00008227925,0.002053033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4756386,"threshold_uncertainty_score":0.9999382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04376914577511182,"score_gpt":0.288787708501284,"score_spread":0.2450185627261722,"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."}}