{"id":"W2023786478","doi":"10.1145/2501603","title":"Perspectives in semantic adaptive social web","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Intelligent Systems and Technology","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Social Semantic Web; Computer science; World Wide Web; Semantic Web Stack; Semantic Web; Personalization; Data Web; Social web; Web standards; Adaptation (eye); Web modeling; Web intelligence; Semantic analytics; Information retrieval; Web page; 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":[0.008340956,0.000891794,0.0008354532,0.005465194,0.003839067,0.01203445,0.00191974,0.007805332,0.005954534],"category_scores_gemma":[0.01027151,0.000388705,0.000868304,0.006015835,0.01467805,0.02223708,0.004537167,0.006234481,0.001180596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004274576,"about_ca_system_score_gemma":0.001740692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001664489,"about_ca_topic_score_gemma":0.000977552,"domain_scores_codex":[0.992301,0.004465522,0.0002843435,0.0007417347,0.001795914,0.0004115187],"domain_scores_gemma":[0.9888954,0.008208759,0.0004187789,0.0008426614,0.001065326,0.0005690889],"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":[0.000008631016,0.0000131708,0.00009724129,0.0001031578,0.000009183001,0.00006254202,0.0008262542,0.0003356914,0.00005363648,0.9878206,0.004095913,0.006573967],"study_design_scores_gemma":[0.000006472603,0.0000103748,0.0001406016,0.0001153107,0.000004709853,0.00007488803,0.001055661,0.001560955,0.0000664852,0.9261031,0.07085196,0.000009559284],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01619066,0.1020439,0.1850866,0.3293629,0.009235161,0.0001867103,0.0004353786,0.0003874103,0.3570713],"genre_scores_gemma":[0.7821687,0.07767288,0.05827304,0.02766527,0.02215336,0.0006566347,0.0005028,0.0003114673,0.03059584],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01203445,"threshold_uncertainty_score":0.04411173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03089954356842789,"score_gpt":0.2642734618029504,"score_spread":0.2333739182345225,"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."}}