{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00299028,0.001459674,0.0007192046,0.001124798,0.0007458854,0.003124844,0.00179567,0.001205136,0.004886681],"category_scores_gemma":[0.01376716,0.0006933744,0.0009847883,0.0007389057,0.002398205,0.004128154,0.003376441,0.002486906,0.0007034162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009419234,"about_ca_system_score_gemma":0.001397354,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003502891,"about_ca_topic_score_gemma":0.003228247,"domain_scores_codex":[0.9979274,0.0009533669,0.0001172366,0.0002988765,0.0005518075,0.0001512539],"domain_scores_gemma":[0.9908336,0.005735732,0.0005028384,0.002081598,0.0006126694,0.0002336657],"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":[0.001190228,0.0002902514,0.005807027,0.0008419842,0.0001792668,0.0007071297,0.003314802,0.3235741,0.04824726,0.3489379,0.006596749,0.2603134],"study_design_scores_gemma":[0.00005345513,0.0001134627,0.0003030829,0.00009513008,0.00003108711,0.0001098126,0.0001504275,0.8211989,0.01229129,0.1554616,0.01014752,0.00004423179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01221241,0.000288836,0.9822,0.0003469252,0.00003437828,0.0001064425,0.00009570784,0.002699976,0.002015374],"genre_scores_gemma":[0.3574173,0.0003048032,0.6397609,0.000205173,0.00003472797,0.0002510929,0.0003237811,0.0007936108,0.0009087419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004886681,"threshold_uncertainty_score":0.01634759,"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."}}