{"id":"W2112327920","doi":"10.2991/eusflat.2013.121","title":"Fuzziness and Semantic Web Technologies in Personalized eLearning","year":2013,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Personalization; Computer science; Ontology; Semantic Web; Component (thermodynamics); Point (geometry); World Wide Web; Architecture; Selection (genetic algorithm); Human–computer interaction; Artificial intelligence","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":[0.004158569,0.0004331838,0.000570273,0.002781158,0.001379148,0.006394946,0.0008636609,0.002958391,0.001821516],"category_scores_gemma":[0.006176325,0.0005205492,0.0007610284,0.002215917,0.01220367,0.01533534,0.002288563,0.003101868,0.0003631476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002200039,"about_ca_system_score_gemma":0.001242919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001938538,"about_ca_topic_score_gemma":0.001136756,"domain_scores_codex":[0.9975455,0.0009918825,0.0001731137,0.0003018811,0.0008369153,0.0001505426],"domain_scores_gemma":[0.9966124,0.002531634,0.0001609524,0.0003489197,0.000249155,0.00009700169],"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":[0.00001619802,0.00001621978,0.0002856392,0.00007036113,0.00001069915,0.0001455439,0.0007355346,0.001871966,0.0003823829,0.9800982,0.0006592592,0.01570784],"study_design_scores_gemma":[0.000005560192,0.000009340049,0.0001890954,0.00009146367,0.000007752977,0.0001388221,0.0001959366,0.004691044,0.0003868454,0.9843843,0.009884292,0.00001551997],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07203191,0.08678412,0.646575,0.05442234,0.001439683,0.0001527821,0.0001870329,0.0005156043,0.1378915],"genre_scores_gemma":[0.8294697,0.02537334,0.1260505,0.002821136,0.001397697,0.000220698,0.0001251025,0.00008599443,0.01445592],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006394946,"threshold_uncertainty_score":0.02199286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164283995344324,"score_gpt":0.2253957734661094,"score_spread":0.2137529335126661,"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."}}