{"id":"W2914885989","doi":"10.1109/mlui52768.2018.10075559","title":"Speculative Execution for Guided Visual Analytics","year":2018,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Computer science; Analytics; Visual analytics; Visualization; State (computer science); Human–computer interaction; Data science; Artificial intelligence; Programming language","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":[0.0001611693,0.00007068567,0.00008174534,0.00008067294,0.0001017034,0.0001348124,0.0003112998,0.00002936984,0.00007659706],"category_scores_gemma":[0.00008026273,0.00006073319,0.00004334417,0.0003667779,0.00004900726,0.0003246532,0.0001036571,0.00001824253,0.0001272649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002425367,"about_ca_system_score_gemma":0.00003888034,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005655892,"about_ca_topic_score_gemma":0.000009299839,"domain_scores_codex":[0.9993172,0.00001508301,0.0001647959,0.0002135697,0.0001419293,0.0001474619],"domain_scores_gemma":[0.9993356,0.00003100165,0.00005457244,0.0002358386,0.0002831695,0.00005978242],"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":[0.000002158819,0.00004409294,0.0001187081,0.00000350952,0.00001575556,5.111565e-7,0.0001479607,0.0000178704,0.0003213219,0.937813,0.05849469,0.003020431],"study_design_scores_gemma":[0.0002337982,0.0001239159,0.0002514928,0.000003954598,0.000007150426,0.000001708584,0.00003070931,0.9327263,0.007022523,0.007066477,0.05242159,0.0001104355],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007273069,0.000002096502,0.9858174,0.0004489513,0.0001760648,0.00009664751,0.000004182254,0.0001167883,0.01261062],"genre_scores_gemma":[0.7463735,0.000005685917,0.2381023,0.003325405,0.0004839335,0.000006748578,0.00006825593,0.00001254267,0.01162159],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9327084,"threshold_uncertainty_score":0.2476628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05728401426596396,"score_gpt":0.3786440452116918,"score_spread":0.3213600309457278,"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."}}