{"id":"W2031128418","doi":"10.1117/12.703654","title":"A user-driven interface for exploring visualizations","year":2007,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Human–computer interaction; Visualization; Interface (matter); User interface; Variety (cybernetics); Representation (politics); Data visualization; Programming language; Software engineering; Artificial intelligence; Operating system","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":[0.002960127,0.001524055,0.0007284911,0.001407111,0.0007573402,0.003383474,0.002936064,0.001831246,0.01846557],"category_scores_gemma":[0.009272524,0.0006545085,0.001126292,0.0007862172,0.0009037761,0.002731528,0.004374203,0.002084651,0.00472748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003498768,"about_ca_system_score_gemma":0.0007737881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001105498,"about_ca_topic_score_gemma":0.001834198,"domain_scores_codex":[0.9987603,0.0003642051,0.00009253235,0.000171711,0.0005103502,0.0001009726],"domain_scores_gemma":[0.9955195,0.002333579,0.0001083523,0.0008929741,0.0008474941,0.0002981283],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002185858,0.0005337818,0.005128394,0.001796164,0.0001484723,0.002306106,0.01181218,0.00983461,0.1642318,0.09019865,0.1853669,0.5264571],"study_design_scores_gemma":[0.0005689398,0.0004901234,0.00492152,0.0007328044,0.0001178398,0.00409662,0.001252422,0.1814965,0.07112214,0.06455532,0.6700947,0.0005511375],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007410994,0.0001294762,0.9303813,0.000255975,0.00007022537,0.0002710799,0.0007503941,0.05235795,0.008372637],"genre_scores_gemma":[0.08603867,0.0002705017,0.8894666,0.0007283657,0.00006158721,0.0009795114,0.002178144,0.009331997,0.01094467],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01846557,"threshold_uncertainty_score":0.06177354,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0308214514553629,"score_gpt":0.2900837505795588,"score_spread":0.2592622991241958,"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."}}