{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001954652,0.0009772102,0.001067258,0.001470579,0.0004422172,0.0006301125,0.0008412616,0.0009516467,0.0006344667],"category_scores_gemma":[0.00263388,0.0002765502,0.00111194,0.0009171151,0.0002445679,0.0007879993,0.0006174522,0.0009037257,0.0003299526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00044547,"about_ca_system_score_gemma":0.0006032792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005353019,"about_ca_topic_score_gemma":0.004759469,"domain_scores_codex":[0.9993799,0.0001898514,0.00004197019,0.0001805442,0.000131457,0.00007631952],"domain_scores_gemma":[0.9987355,0.0005962416,0.000109375,0.0001283123,0.0003564741,0.0000740691],"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":[0.0003785512,0.0003539598,0.03528934,0.0001151921,0.0006490644,0.0003017595,0.00008714301,0.6396642,0.008456291,0.0007894742,0.004949191,0.3089659],"study_design_scores_gemma":[0.000003688114,0.00003775562,0.001491482,0.000005391901,0.00003188783,0.00002988802,0.00000743166,0.997006,0.000807567,0.00033404,0.0002394468,0.000005377035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5112697,0.003548967,0.4772583,0.0005127362,0.0002024698,0.0001536383,0.001519277,0.002277798,0.0032571],"genre_scores_gemma":[0.9217384,0.0006487091,0.0728796,0.0001749617,0.0001177837,0.0000877277,0.002785679,0.00004685705,0.001520143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005353019,"threshold_uncertainty_score":0.01064378,"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."}}