{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004718668,0.0002040824,0.0002448394,0.0001558313,0.000614524,0.00005956404,0.0008404194,0.000311738,0.000004907653],"category_scores_gemma":[0.0001118215,0.0001816323,0.00007593627,0.0005647174,0.0003478219,0.0001771333,0.0003309029,0.0006045371,0.000005819857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000727415,"about_ca_system_score_gemma":0.0001240691,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001581615,"about_ca_topic_score_gemma":0.000004647988,"domain_scores_codex":[0.9984145,0.00007741099,0.0002482766,0.0006550521,0.0002307835,0.0003739834],"domain_scores_gemma":[0.9991969,0.00009940923,0.0001312859,0.000410855,0.0001297903,0.00003179696],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001591547,0.002720288,0.8826188,0.00003257067,0.0001344616,0.000006091106,0.03021097,0.00003503322,0.0001236934,0.04962564,0.001875399,0.03260111],"study_design_scores_gemma":[0.001153035,0.001651474,0.6280765,0.00002939864,0.00006759076,0.00005072249,0.2313809,0.0884821,0.0002977267,0.04711908,0.0008673265,0.0008241679],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496855,0.0002054448,0.02907155,0.01770857,0.0004408484,0.0003932157,4.574676e-7,0.001909862,0.0005845489],"genre_scores_gemma":[0.9453578,0.000009971346,0.05412325,0.0002268137,0.00008216877,0.0001319985,0.000003600228,0.00001123122,0.00005314103],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2545423,"threshold_uncertainty_score":0.7406752,"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."}}