{"id":"W4392719529","doi":"10.1109/tvcg.2024.3372129","title":"Analyzing User Behaviour Patterns in a Cross-Virtuality Immersive Analytics System","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Visualization and Computer Graphics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Virtuality (gaming); Computer science; Analytics; Visual analytics; Human–computer interaction; Data visualization; Visualization; Cultural analytics; Data science; World Wide Web; Semantic analytics; The Internet; 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":[0.001522946,0.0004858565,0.0004973761,0.000960983,0.0003926028,0.001093545,0.0004566753,0.0005264307,0.001862082],"category_scores_gemma":[0.009135041,0.0002806848,0.0002646329,0.0004649105,0.0003312003,0.001147469,0.0009764498,0.0004902214,0.0007029223],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002047358,"about_ca_system_score_gemma":0.0001595685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00138169,"about_ca_topic_score_gemma":0.002152077,"domain_scores_codex":[0.9989049,0.0004735124,0.00007786834,0.0002245518,0.0002142661,0.000104893],"domain_scores_gemma":[0.9929768,0.004815408,0.0003907249,0.0005269615,0.0007933081,0.0004967275],"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":[0.005707289,0.002656843,0.3071805,0.001645605,0.000367202,0.002477581,0.09267158,0.007716609,0.2301199,0.001248809,0.007769826,0.3404382],"study_design_scores_gemma":[0.0002335912,0.007337751,0.7083246,0.0002757784,0.0003166858,0.00360441,0.03922288,0.1590697,0.06096876,0.002843227,0.01725258,0.0005501739],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902682,0.00005222802,0.008055295,0.00005415183,0.000007688513,0.00007252159,0.0001626435,0.000519839,0.0008074655],"genre_scores_gemma":[0.9868406,0.00006908151,0.01116095,0.00006164922,0.000005573695,0.0001134016,0.0003494741,0.0001113042,0.001288063],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001862082,"threshold_uncertainty_score":0.008054197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02350913768300696,"score_gpt":0.3158162792341233,"score_spread":0.2923071415511163,"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."}}