{"id":"W296396633","doi":"10.1007/978-3-319-08852-5_41","title":"Learning Categories from Linked Open Data","year":2014,"lang":"en","type":"book-chapter","venue":"Communications in computer and information science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"RDF; Computer science; Linked data; Information retrieval; Process (computing); Extensional definition; Subject (documents); Representation (politics); Resource (disambiguation); Metadata; Hierarchy; Similarity (geometry); Web resource; World Wide Web; Data science; Semantic Web; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001534576,0.0001956709,0.0003013236,0.0004391516,0.0006214957,0.002385715,0.01992486,0.0001239964,0.000008761045],"category_scores_gemma":[0.0001572398,0.0001839751,0.00001988964,0.0002597023,0.0008206844,0.01310764,0.02823605,0.0004961939,0.0001035273],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005689163,"about_ca_system_score_gemma":0.0003300739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002040834,"about_ca_topic_score_gemma":0.00007079404,"domain_scores_codex":[0.9983951,0.00003922448,0.0005919817,0.0004178573,0.0003505517,0.000205268],"domain_scores_gemma":[0.9937489,0.0004844095,0.0003712215,0.005069507,0.0002485747,0.00007735932],"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":[8.535435e-7,0.000003558665,0.00006073043,0.000005679074,0.000004042409,2.066359e-7,0.00137469,0.00004692071,4.126688e-7,0.5781727,0.0004089777,0.4199212],"study_design_scores_gemma":[0.0001983359,0.00003464146,0.001443327,0.0001068727,0.0000046821,0.00000623913,0.00003752971,0.4827486,0.000001952455,0.02771861,0.4874476,0.0002516012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000224614,0.0003945795,0.6461185,0.001896026,0.0003975051,0.000312931,0.00001487469,0.0001371762,0.350706],"genre_scores_gemma":[0.1331275,0.007363525,0.8460229,0.003707206,0.0001719456,0.00004151829,0.001111124,0.00002334531,0.008431001],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5504541,"threshold_uncertainty_score":0.9986499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1127226161547305,"score_gpt":0.3343144556611146,"score_spread":0.2215918395063841,"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."}}