{"id":"W1878984325","doi":"10.1109/oceans.2005.1640159","title":"Construction of marine vocabularies in the Marine Metadata Interoperability Project","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Computer science; Metadata; World Wide Web; Controlled vocabulary; Vocabulary; Ontology; Interoperability; Web Ontology Language; Semantic Web; Information retrieval; Web standards; Web service","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.02617411,0.0005214747,0.0006308793,0.007088615,0.003748145,0.006099151,0.002490149,0.001354784,0.004314305],"category_scores_gemma":[0.022471,0.0008990986,0.001942585,0.007499553,0.003194259,0.01023029,0.01251663,0.003022929,0.001762904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004760352,"about_ca_system_score_gemma":0.0144842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02944101,"about_ca_topic_score_gemma":0.02275133,"domain_scores_codex":[0.985968,0.005714439,0.002714849,0.001754179,0.00322331,0.0006252134],"domain_scores_gemma":[0.9901512,0.002718848,0.0009960785,0.002699422,0.002918332,0.000516193],"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":[0.00005050706,0.0001360407,0.003525497,0.0004962924,0.00004831364,0.0002616991,0.006238339,0.003146108,0.003672197,0.8601462,0.01824233,0.1040365],"study_design_scores_gemma":[0.00007858814,0.0001143424,0.005160729,0.001946189,0.00009327608,0.0003337431,0.008409844,0.01852167,0.01053835,0.2458152,0.7088259,0.0001621171],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03984999,0.0009761578,0.851339,0.005191834,0.0003774462,0.005234408,0.01226693,0.002280195,0.08248413],"genre_scores_gemma":[0.06843018,0.0006907025,0.8842908,0.0005335219,0.00005729219,0.003379655,0.03221364,0.0009685731,0.009435601],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9939008,"threshold_uncertainty_score":0.1384236,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818840713808813,"score_gpt":0.2693807339068825,"score_spread":0.2411923267687944,"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."}}