{"id":"W2151343930","doi":"10.1109/iri.2008.4583057","title":"An ontology-empowered model for annotating protein-protein interaction data: a case study for budding yeast","year":2008,"lang":"en","type":"article","venue":"","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Ontology; Budding yeast; Computer science; Information retrieval; Ontology-based data integration; Data science; Computational biology; Yeast; Chemistry; Saccharomyces cerevisiae; Semantic Web; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004373817,0.0005059617,0.0004590993,0.0008637864,0.001679894,0.002575639,0.001667697,0.001959284,0.001034154],"category_scores_gemma":[0.008241798,0.000384199,0.00102521,0.001460478,0.001412195,0.003466669,0.002008795,0.001483975,0.0002673222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583831,"about_ca_system_score_gemma":0.001765144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01611447,"about_ca_topic_score_gemma":0.02858016,"domain_scores_codex":[0.9984768,0.0007651896,0.000118739,0.0001691404,0.0003903107,0.00007979095],"domain_scores_gemma":[0.993691,0.004772885,0.0002420981,0.0007247551,0.0003920558,0.0001771788],"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":[0.001429504,0.001948249,0.05282928,0.001512168,0.0003357439,0.02862486,0.01575167,0.4153137,0.04216301,0.1895074,0.009519123,0.2410654],"study_design_scores_gemma":[0.00009587842,0.0002000541,0.003175901,0.0001236396,0.0001353039,0.003176313,0.002682208,0.8935439,0.01662261,0.04286598,0.03727603,0.0001022095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3548444,0.0003304035,0.6322241,0.003577841,0.0000461487,0.0004626519,0.001418638,0.00172215,0.005373712],"genre_scores_gemma":[0.4081526,0.0003826631,0.5876921,0.0001924206,0.00001535542,0.0001756657,0.001036996,0.0002300736,0.002122125],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01611447,"threshold_uncertainty_score":0.03204137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07218870952167336,"score_gpt":0.3420798815913163,"score_spread":0.269891172069643,"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."}}