{"id":"W1482602274","doi":"10.1007/11574620_78","title":"The FungalWeb Ontology: Semantic Web Challenges in Bioinformatics and Genomics","year":2005,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Biomedical Text Mining and Ontologies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Semantic Web; Ontology; World Wide Web; Genomics; Information retrieval; Genome; Biology; Genetics; 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":[0.004010847,0.0007925266,0.001051956,0.002773443,0.00146045,0.007957511,0.001948816,0.002172682,0.003684953],"category_scores_gemma":[0.004111997,0.0006091236,0.001164335,0.005764385,0.003648376,0.02107472,0.002866489,0.00394715,0.002027673],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002138006,"about_ca_system_score_gemma":0.004355036,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005579676,"about_ca_topic_score_gemma":0.007699971,"domain_scores_codex":[0.9990551,0.000199142,0.0001051686,0.0001078448,0.0004519226,0.00008075384],"domain_scores_gemma":[0.9974348,0.001461287,0.0001051089,0.0003538861,0.0003508962,0.0002940609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003109019,0.0000726073,0.0004125919,0.0006424285,0.00002741435,0.0002312701,0.0006513224,0.001440539,0.001490421,0.6478271,0.09568603,0.2514872],"study_design_scores_gemma":[0.000007984071,0.000009659465,0.0002668253,0.000347888,0.00002093498,0.0005364963,0.000446803,0.006834381,0.0007864872,0.5660312,0.4246873,0.00002404231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008114845,0.05665299,0.8132246,0.070968,0.004009301,0.0001152693,0.002471385,0.003555132,0.04088847],"genre_scores_gemma":[0.06103488,0.0947736,0.7978371,0.009778017,0.002747367,0.0002517957,0.007126818,0.001308723,0.02514164],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.007957511,"threshold_uncertainty_score":0.02121162,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02338673493883864,"score_gpt":0.2503171685539797,"score_spread":0.2269304336151411,"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."}}