{"id":"W2127711035","doi":"","title":"A Learning Content Authoring Approach Based on Semantic Technologies and Social Networking: An Empirical Study","year":2011,"lang":"en","type":"article","venue":"Educational Technology & Society","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Computer science; Personalization; Social Semantic Web; World Wide Web; Semantic Web; Process (computing); Multimedia; Semantic Web Stack; Social web; Web 2.0; Empirical research; The Internet; Social media","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":[0.0157087,0.0003660912,0.0004520016,0.002686502,0.001513141,0.002879943,0.0009608723,0.00102277,0.002495119],"category_scores_gemma":[0.06105552,0.0004130297,0.0003319691,0.002352928,0.001862229,0.00472718,0.001433686,0.001348114,0.0005510839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001220233,"about_ca_system_score_gemma":0.001279427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001964443,"about_ca_topic_score_gemma":0.003063686,"domain_scores_codex":[0.9898886,0.006425792,0.0007641693,0.0005934526,0.001899491,0.0004283963],"domain_scores_gemma":[0.8374457,0.1382834,0.009072881,0.004372474,0.008080107,0.002745437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001109353,0.02006856,0.5978497,0.001904277,0.0001453755,0.001897341,0.2058274,0.001040542,0.006584617,0.005283232,0.002286194,0.1560034],"study_design_scores_gemma":[0.0003166771,0.006299862,0.6784185,0.0006652505,0.0002748979,0.002758605,0.2612969,0.01640616,0.008154156,0.002098872,0.02313747,0.0001727265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9961682,0.0001077663,0.0009505537,0.0001036972,0.000004431538,0.0002026479,0.00003682762,0.00001272362,0.002413212],"genre_scores_gemma":[0.9965315,0.0001895741,0.002179289,0.00004868303,0.000008887257,0.0001702069,0.00007367763,0.00001209972,0.0007860143],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0157087,"threshold_uncertainty_score":0.08307654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140124609975355,"score_gpt":0.3208294908198804,"score_spread":0.2068170298223449,"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."}}