{"id":"W2065140130","doi":"10.1109/hicss.2012.583","title":"The Role of Social Interaction Filter and Visualization in Casual Browsing","year":2012,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan; MacEwan University","funders":"","keywords":"Visualization; Casual; Filter (signal processing); Computer science; Information visualization; Human–computer interaction; Social relation; Feature (linguistics); Data visualization; World Wide Web; Multimedia; Artificial intelligence; Psychology; Computer vision; Social psychology","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":[0.006393395,0.0009883356,0.0007269322,0.001853982,0.0008879585,0.004290338,0.000632402,0.001140332,0.002938715],"category_scores_gemma":[0.04609291,0.0004573089,0.0005553275,0.0008702811,0.0008588969,0.005109057,0.001572349,0.0007364524,0.0002115624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003979455,"about_ca_system_score_gemma":0.0007445592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001224917,"about_ca_topic_score_gemma":0.001622891,"domain_scores_codex":[0.9962389,0.002124656,0.0002588672,0.0003227303,0.0008155142,0.0002392183],"domain_scores_gemma":[0.9300289,0.06058731,0.002479716,0.002977416,0.002150375,0.001776248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01031797,0.002973294,0.1296301,0.003695048,0.0006617075,0.0008735259,0.02551922,0.008643541,0.1700801,0.009696526,0.002640596,0.6352683],"study_design_scores_gemma":[0.001646804,0.02457261,0.5441203,0.001722987,0.002768099,0.003968841,0.01825399,0.2083174,0.127318,0.03421028,0.03193123,0.001169395],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9327268,0.000733449,0.05776698,0.0002990475,0.00004750726,0.000360346,0.0001465298,0.001651353,0.006268095],"genre_scores_gemma":[0.9621604,0.0001611131,0.03666981,0.00003976997,0.00002769449,0.0001211134,0.00008780626,0.000104107,0.0006282299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006393395,"threshold_uncertainty_score":0.03381187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02474021147824941,"score_gpt":0.330273304372709,"score_spread":0.3055330928944596,"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."}}