{"id":"W2008575430","doi":"10.1109/cse.2009.182","title":"Designing Social Computing Using Traditions of Symbolism, Personalization, and Gift Culture","year":2009,"lang":"en","type":"article","venue":"","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Personalization; Wearable computer; Perspective (graphical); Focus (optics); Computer science; Sociology; Order (exchange); Key (lock); Human–computer interaction; World Wide Web; Knowledge management; Internet privacy; Artificial intelligence; Computer security; Business","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":[0.004072232,0.0004939163,0.0002583624,0.0009262653,0.002580371,0.00451302,0.0009848168,0.0008940814,0.001574273],"category_scores_gemma":[0.007862924,0.0003587813,0.0004816858,0.000506803,0.008563677,0.006914062,0.004738997,0.001156558,0.000342537],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001055775,"about_ca_system_score_gemma":0.001475454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005786372,"about_ca_topic_score_gemma":0.0008906209,"domain_scores_codex":[0.9972333,0.001859497,0.0001142708,0.0003130516,0.0003288738,0.0001510643],"domain_scores_gemma":[0.9963206,0.001985052,0.0003156769,0.0007854496,0.0002440011,0.0003492619],"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":[0.0001413965,0.0003407281,0.01172265,0.001353198,0.0001439969,0.0007959281,0.1147875,0.008012448,0.02189179,0.5692638,0.003404374,0.2681422],"study_design_scores_gemma":[0.0001575659,0.0006904073,0.00530184,0.0005923986,0.0001859649,0.001942745,0.04877109,0.02691254,0.01927099,0.6184332,0.2775681,0.000173082],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.208135,0.001211418,0.7336954,0.003997195,0.0001734052,0.0003298263,0.00002340596,0.0005078125,0.05192654],"genre_scores_gemma":[0.840416,0.0006760925,0.1535971,0.0003308405,0.00004725829,0.0002595122,0.00002843059,0.0001090156,0.004535797],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00451302,"threshold_uncertainty_score":0.02153629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03722666252186368,"score_gpt":0.3023295532318076,"score_spread":0.2651028907099439,"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."}}