{"id":"W4394490698","doi":"10.6084/m9.figshare.14955745","title":"An enhanced methodology for predicting protein-protein interactions between human and hepatitis C virus via ensemble learning algorithms","year":2021,"lang":"en","type":"dataset","venue":"Figshare","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Hepatitis a virus; Ensemble learning; Artificial intelligence; Machine learning; Algorithm; Computational biology; Virology; Virus; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002387257,0.0003795561,0.0004468744,0.00009998464,0.0003885958,0.0001233221,0.0003495228,0.000598376,0.003714489],"category_scores_gemma":[0.002999909,0.0004207837,0.0001286084,0.0000800331,0.00002058914,0.00001928272,0.0003785325,0.0008091368,0.00003485307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002929329,"about_ca_system_score_gemma":0.00009678303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002601679,"about_ca_topic_score_gemma":0.0005839411,"domain_scores_codex":[0.998014,0.0003917306,0.0004728414,0.0005904452,0.000153812,0.0003771156],"domain_scores_gemma":[0.9983871,0.0001305651,0.0005465685,0.0005636264,0.0002344325,0.0001377364],"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":[0.00002446687,0.00005176542,0.00003164837,0.001599757,0.0002473658,0.000006761615,0.00007123076,0.00005737544,0.2281384,5.336146e-7,0.7594403,0.01033043],"study_design_scores_gemma":[0.0002930496,0.0006979303,0.00008485214,0.0009296668,0.00005811988,0.00001883773,0.00002195814,0.0003353663,0.1449296,0.00001444523,0.8521608,0.0004553697],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00277012,0.0001406387,0.003598207,0.00001110107,0.00006501294,0.0008961471,0.9924334,0.00004200183,0.00004339525],"genre_scores_gemma":[0.001454648,0.00001663113,0.01244625,0.00005243777,0.0009206028,0.00105402,0.983731,0.00005812444,0.0002663314],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.09272055,"threshold_uncertainty_score":0.9998244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04760507165260212,"score_gpt":0.3551446521565708,"score_spread":0.3075395805039686,"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."}}