{"id":"W2293580069","doi":"","title":"Towards a Characterization of Interactivity in Visual Analytics","year":2012,"lang":"en","type":"article","venue":"J. Multim. Process. Technol.","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Interactivity; Visual analytics; Human–computer interaction; Computer science; Analytics; Cultural analytics; Data science; Perception; Visualization; Interactive visual analysis; Component (thermodynamics); Multimedia; Psychology; World Wide Web; Artificial intelligence; Semantic analytics; The Internet","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":[0.01511281,0.001336312,0.0009764294,0.006692398,0.001499536,0.01325281,0.001587122,0.002110814,0.001926386],"category_scores_gemma":[0.06903174,0.00107137,0.001286845,0.002693198,0.008885062,0.0147045,0.006185384,0.002923968,0.0004395288],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001402208,"about_ca_system_score_gemma":0.000982958,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001057416,"about_ca_topic_score_gemma":0.0005732958,"domain_scores_codex":[0.9820369,0.009884052,0.001690177,0.002123879,0.003587543,0.0006774625],"domain_scores_gemma":[0.8996198,0.07102622,0.01026288,0.008121629,0.0087783,0.002191254],"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":[0.0009120648,0.0004692591,0.05694357,0.002561706,0.0006555113,0.0007052164,0.05543071,0.03419537,0.05247371,0.5392684,0.002437727,0.2539468],"study_design_scores_gemma":[0.0001097671,0.0006042046,0.03418908,0.001005103,0.000342044,0.001161968,0.01708788,0.1348549,0.01519452,0.7635697,0.0315727,0.0003082398],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07561418,0.001673424,0.9075273,0.001393936,0.00004908813,0.000301648,0.0001584992,0.00053521,0.01274667],"genre_scores_gemma":[0.7522694,0.0007988342,0.2443894,0.0002268978,0.0001136456,0.0006340167,0.0002737544,0.0002597881,0.001034154],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01511281,"threshold_uncertainty_score":0.07992518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02182922428527928,"score_gpt":0.3317405587100771,"score_spread":0.3099113344247978,"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."}}