{"id":"W2048299923","doi":"10.1039/c4mb00410h","title":"Predicting protein–protein interactions between human and hepatitis C virus <i>via</i> an ensemble learning method","year":2014,"lang":"en","type":"article","venue":"Molecular BioSystems","topic":"Machine Learning in Bioinformatics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Hepatitis a virus; Ensemble learning; Hepatitis C virus; Computational biology; Virology; Computer science; Biology; Virus; Artificial intelligence; Chemistry","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"],"consensus_categories":[],"category_scores_codex":[0.0008787833,0.0002898683,0.0002984933,0.00009905104,0.0003631887,0.0001329414,0.0002368237,0.0002194852,0.000008737464],"category_scores_gemma":[0.0002570886,0.0002985815,0.0000944164,0.0001151691,0.00005546164,0.0000224724,0.0002016623,0.0003880532,0.00001185829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002203232,"about_ca_system_score_gemma":0.00001961493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001139013,"about_ca_topic_score_gemma":0.0002654321,"domain_scores_codex":[0.9977599,0.0006879479,0.0004781452,0.0004704778,0.0002425478,0.0003610044],"domain_scores_gemma":[0.9988695,0.00002195455,0.0003091019,0.0005095587,0.0001018342,0.0001880159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000008053669,0.00002142966,0.02104259,0.0001187224,0.00006629221,0.000002452845,0.0001218054,0.0001420986,0.9740998,0.0002376154,0.00001481017,0.004124287],"study_design_scores_gemma":[0.0005636671,0.001060786,0.001528874,0.0001656739,0.00005412735,0.00007147294,0.00006427491,0.01308042,0.9539601,0.0001296884,0.02877008,0.0005507979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7943755,0.00007253628,0.2027126,0.00004745537,0.0000618352,0.0004627018,0.000009768498,0.00008459792,0.002173103],"genre_scores_gemma":[0.9861785,0.000004199059,0.0123872,0.00008404457,0.0003417637,0.00007980069,0.0003789405,0.00006741869,0.000478167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.191803,"threshold_uncertainty_score":0.9999467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007431449447555957,"score_gpt":0.2756071699961699,"score_spread":0.2681757205486139,"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."}}