{"id":"W3321838","doi":"","title":"International Workshop on Applications of Semantic Web Technologies for E-Learning (SW-EL'05)","year":2005,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Semantic Web; Social Semantic Web; Ontology; Personalization; Context (archaeology); Semantic Web Stack; Semantic interoperability; Multimedia; Interoperability; Information retrieval","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009527097,0.001449069,0.001771817,0.002145853,0.001075649,0.008054563,0.00315937,0.003877146,0.02831522],"category_scores_gemma":[0.008109774,0.0007313936,0.001855236,0.002824762,0.001172766,0.009261063,0.005821398,0.005290349,0.01419833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001735678,"about_ca_system_score_gemma":0.003457834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003170928,"about_ca_topic_score_gemma":0.003266348,"domain_scores_codex":[0.9941169,0.002167947,0.0005716684,0.0006429981,0.001767729,0.0007326261],"domain_scores_gemma":[0.9940971,0.00164508,0.0001944345,0.001037922,0.001984368,0.001041021],"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":[0.0006037287,0.0007796211,0.0009789113,0.001035194,0.0001446242,0.0004280976,0.001173768,0.002760835,0.005581968,0.07616006,0.3574865,0.5528666],"study_design_scores_gemma":[0.00006239524,0.0001970526,0.001124428,0.000649122,0.00004244707,0.0003995404,0.0005941782,0.007570907,0.0026123,0.03139452,0.9553162,0.00003689301],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.02179157,0.07017332,0.621277,0.03866719,0.04735624,0.001560185,0.004153851,0.007249228,0.1877714],"genre_scores_gemma":[0.09103337,0.04706655,0.4608342,0.01056679,0.005703848,0.001658676,0.02233142,0.00322314,0.3575819],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02831522,"threshold_uncertainty_score":0.09472382,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0189208274010861,"score_gpt":0.2895340657108089,"score_spread":0.2706132383097228,"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."}}