{"id":"W2066407644","doi":"10.1145/1041410.1041416","title":"Kanata","year":2004,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Metadata; Focus (optics); World Wide Web; Database; Software engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001011324,0.00008541979,0.0001092152,0.00005325372,0.00006796281,0.00007287011,0.001656232,0.00004845936,0.00002018585],"category_scores_gemma":[0.0002269136,0.00007036249,0.00004713308,0.000195277,0.00002957686,0.0002983532,0.000449349,0.00008092262,0.0002651897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002649178,"about_ca_system_score_gemma":0.00005301662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000213748,"about_ca_topic_score_gemma":0.00008871741,"domain_scores_codex":[0.9992436,0.0000144242,0.0001182226,0.0002696455,0.0001311171,0.000223008],"domain_scores_gemma":[0.9987579,0.00008386968,0.00003648735,0.001044272,0.00002665918,0.00005080189],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000008149751,0.0001128888,0.006222796,0.00001556872,0.00003530404,0.000171034,0.0007721638,0.00007775901,0.001192287,0.2238557,0.008499435,0.7590368],"study_design_scores_gemma":[0.001473721,0.0003679643,0.03240957,0.00005628132,0.00001374527,0.0001148524,0.000134796,0.001504937,0.01528076,0.8800371,0.06791662,0.0006896029],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2833381,0.0004563594,0.6836505,0.01568586,0.002284908,0.0001659816,8.683995e-7,0.000798305,0.01361913],"genre_scores_gemma":[0.8234584,0.00003485701,0.1753974,0.0007209857,0.00008654345,0.000006017621,6.31041e-7,0.000005145142,0.0002900976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7583473,"threshold_uncertainty_score":0.3408566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648632253714379,"score_gpt":0.2570926872259994,"score_spread":0.2306063646888556,"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."}}