{"id":"W4409948370","doi":"10.1093/nar/gkaf337","title":"OntoTiger: a platform of ontology-based application tools for integrative biomedical exploration","year":2025,"lang":"en","type":"article","venue":"Nucleic Acids Research","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"National Natural Science Foundation of China","keywords":"Ontology; Open Biomedical Ontologies; Ontology-based data integration; Pairwise comparison; Computer science; Gene ontology; Process ontology; Upper ontology; Annotation; Ontology alignment; Suggested Upper Merged Ontology; Information retrieval; Similarity (geometry); Semantic Web; Bioinformatics; Biology; Artificial intelligence; Gene","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":[0.002434246,0.002455948,0.001518027,0.004949972,0.0009986522,0.003446426,0.003014713,0.001244857,0.01676786],"category_scores_gemma":[0.005230967,0.001155657,0.002666864,0.003501468,0.0009064469,0.004373304,0.006611875,0.002498434,0.0107758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164067,"about_ca_system_score_gemma":0.002817397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003261853,"about_ca_topic_score_gemma":0.003108379,"domain_scores_codex":[0.9987189,0.0001694346,0.000180275,0.0003331457,0.0004728042,0.0001255111],"domain_scores_gemma":[0.9983571,0.0006318906,0.0001990942,0.0003388331,0.0002471495,0.0002258446],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002101642,0.0006496871,0.005707849,0.006408499,0.001450588,0.002949571,0.002800555,0.01558729,0.08130345,0.07250172,0.3737181,0.4348211],"study_design_scores_gemma":[0.0006577555,0.0002424617,0.008280189,0.0007219429,0.0003948673,0.001703327,0.0005020016,0.111917,0.03315604,0.0999964,0.741943,0.0004850116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.006337192,0.0009149071,0.6320432,0.000676744,0.0002261675,0.0009645261,0.03440071,0.3104377,0.01399884],"genre_scores_gemma":[0.06959695,0.00336631,0.6392905,0.001637505,0.0002480157,0.003505512,0.2182471,0.04641439,0.01769382],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01676786,"threshold_uncertainty_score":0.05609405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08527833998254629,"score_gpt":0.4058098358403694,"score_spread":0.3205314958578231,"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."}}