{"id":"W2336645439","doi":"","title":"A document interoperation framework on the semantic web (difsew)","year":2011,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Computer science; Interoperation; Semantics (computer science); Information retrieval; Semantic Web; Information extraction; Ontology; World Wide Web; Interoperability","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":[0.01264274,0.001483123,0.001747974,0.007553005,0.002794201,0.01033728,0.00449367,0.004056721,0.003841485],"category_scores_gemma":[0.007482245,0.001320797,0.004215698,0.007158592,0.004462599,0.01660961,0.008395005,0.004677844,0.002611358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002510968,"about_ca_system_score_gemma":0.006363824,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01160276,"about_ca_topic_score_gemma":0.01244451,"domain_scores_codex":[0.9921637,0.002610312,0.001290652,0.0009378545,0.002472337,0.0005252686],"domain_scores_gemma":[0.9968185,0.001039082,0.0002319162,0.000926216,0.000681353,0.0003027765],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00004189444,0.00008942442,0.0002203625,0.0002485983,0.00006283614,0.0003636537,0.0007495288,0.007675306,0.001193276,0.9211643,0.008490589,0.05970039],"study_design_scores_gemma":[0.00005880395,0.00005688114,0.0002529628,0.0003816116,0.00006859272,0.0004971004,0.0005865332,0.06251548,0.002809046,0.6179139,0.3147741,0.00008505914],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001133531,0.0006531426,0.9839694,0.001226447,0.0001651406,0.0004305255,0.0004636712,0.002800397,0.009157675],"genre_scores_gemma":[0.01972866,0.001450741,0.9692866,0.0004819905,0.000114799,0.000790797,0.002356604,0.00050989,0.005280002],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01264274,"threshold_uncertainty_score":0.06686199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04511929016845825,"score_gpt":0.247094722216886,"score_spread":0.2019754320484277,"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."}}