{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00332894,0.001735786,0.001282208,0.001805943,0.002066283,0.003996488,0.004464063,0.001838218,0.28391],"category_scores_gemma":[0.01283482,0.001328715,0.001537149,0.002120445,0.002002325,0.004738716,0.008148935,0.002761106,0.2545657],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001531179,"about_ca_system_score_gemma":0.002590207,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004633798,"about_ca_topic_score_gemma":0.006140088,"domain_scores_codex":[0.9977787,0.0003349477,0.0001593333,0.000313691,0.001097607,0.0003156246],"domain_scores_gemma":[0.993414,0.0014014,0.0003346281,0.002445994,0.001140147,0.001263839],"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":[0.0002084089,0.00004720112,0.0003922505,0.0005611114,0.00002098954,0.0002575461,0.0002010375,0.0003939379,0.006266965,0.005010835,0.9288148,0.05782481],"study_design_scores_gemma":[0.0001049203,0.00004856699,0.001532954,0.0003277755,0.00001776994,0.0006229809,0.00008824775,0.006910036,0.01766745,0.0106107,0.9619339,0.0001346512],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.003542039,0.000461332,0.1836363,0.00321931,0.001885244,0.0005524807,0.04636645,0.6803162,0.08002054],"genre_scores_gemma":[0.05027087,0.001213917,0.1681073,0.004966407,0.001057928,0.00165247,0.1245283,0.504302,0.143901],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.28391,"threshold_uncertainty_score":0.9497736,"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."}}