{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876982,0.00003085853,0.0000388506,0.00004286933,0.0000629142,0.00006828484,0.00008766491,0.00001671517,0.000009816287],"category_scores_gemma":[0.00002397989,0.00002233506,0.000008814146,0.0001573923,0.00001771216,0.0005666643,0.00007179714,0.00002323472,0.00000334502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001019566,"about_ca_system_score_gemma":0.000006756613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002224105,"about_ca_topic_score_gemma":0.00002736056,"domain_scores_codex":[0.9996326,0.00003861764,0.0001132636,0.0000541059,0.00007870988,0.00008268176],"domain_scores_gemma":[0.9998164,0.00003734878,0.00004527481,0.0000595283,0.00002493593,0.00001656571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002814896,0.00005386881,0.01465509,0.000004510955,0.000004400087,8.176785e-8,0.003899562,0.0000054512,0.001238047,0.930532,0.0004613379,0.04914288],"study_design_scores_gemma":[0.0003903587,0.00003746071,0.04331909,0.00001887437,0.00000726506,0.00000889399,0.003428283,0.8524917,0.01685369,0.002864921,0.08037885,0.0002005825],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1756484,0.0001801998,0.8098379,0.0004921456,0.0003864641,0.0001189896,0.000002224316,0.00006763723,0.01326598],"genre_scores_gemma":[0.9993474,0.000008520935,0.0003978785,0.0000861477,0.00003254192,6.515927e-7,0.000003303737,0.000001864432,0.0001216366],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.927667,"threshold_uncertainty_score":0.09107973,"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."}}