{"id":"W1967642445","doi":"10.7152/acro.v24i1.14674","title":"Advances in Classification Research Online 2013 Classification, Ontology, and the Semantic Web","year":2014,"lang":"en","type":"article","venue":"Advances in Classification Research Online","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Semantic Web; Social Semantic Web; Semantic Web Stack; Semantic analytics; Predicate (mathematical logic); Information retrieval; RDF; Data Web; Ontology; Semantic Web Rule Language; OWL-S; World Wide Web; Semantic search; Semantic grid; Web Ontology Language; Web service; Programming language","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":[0.009557147,0.0007935854,0.00135815,0.009363127,0.001789243,0.0120732,0.00237933,0.002901841,0.01685499],"category_scores_gemma":[0.01442497,0.0005365254,0.001147617,0.01487524,0.005202308,0.02413635,0.003452006,0.003628842,0.007994458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006600935,"about_ca_system_score_gemma":0.005124538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006286011,"about_ca_topic_score_gemma":0.005250594,"domain_scores_codex":[0.9933322,0.002344998,0.0004669843,0.0007715304,0.002764513,0.0003197757],"domain_scores_gemma":[0.9846458,0.008062349,0.0006871525,0.002537323,0.003350066,0.0007173454],"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":[0.00002832732,0.00008430594,0.001573035,0.0004896601,0.00003982832,0.00005609702,0.0003327048,0.0007466461,0.0002591109,0.3535827,0.0694777,0.57333],"study_design_scores_gemma":[0.00001108226,0.00002453114,0.001530374,0.0007752935,0.00002893437,0.0002383466,0.0007112247,0.006841419,0.0003936446,0.364804,0.624603,0.00003812561],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.009696121,0.3108627,0.2756507,0.1512708,0.009472572,0.000215167,0.001398407,0.001450398,0.2399831],"genre_scores_gemma":[0.1634739,0.3688982,0.3352206,0.01281307,0.02236265,0.0003267362,0.004583222,0.0007929259,0.09152877],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01685499,"threshold_uncertainty_score":0.05638558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1395974917483191,"score_gpt":0.4524464280028266,"score_spread":0.3128489362545076,"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."}}