{"id":"W2966373506","doi":"","title":"Speculative Execution for Guided Visual Analytics","year":2018,"lang":"en","type":"preprint","venue":"KOPS (University of Konstanz)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Computer science; Visual analytics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003214318,0.0001997174,0.0003716565,0.0003363094,0.0001966976,0.00008211852,0.001256593,0.0002167344,0.00007698618],"category_scores_gemma":[0.00007380475,0.0002572091,0.0002418544,0.0004326129,0.0002302706,0.0003239423,0.001384911,0.0001484667,0.00002937488],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001486619,"about_ca_system_score_gemma":0.0003200732,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006081762,"about_ca_topic_score_gemma":0.00005459812,"domain_scores_codex":[0.998593,0.00006669663,0.000224149,0.0005457822,0.0003471123,0.0002233052],"domain_scores_gemma":[0.9980212,0.00006330347,0.0004474689,0.0006668562,0.0006796109,0.0001215692],"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":[0.000116312,0.0006756595,0.000934269,0.0007172857,0.0008871492,0.00005871544,0.005816977,0.002996343,0.0004618739,0.676753,0.3001338,0.0104486],"study_design_scores_gemma":[0.000835215,0.0001598116,0.0008034712,0.0001955966,0.0001832521,0.000003631475,0.0007739791,0.9558147,0.0003329453,0.01603706,0.02435597,0.0005043976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005222226,0.00002078442,0.9889143,0.0004601334,0.0003755955,0.0003067221,0.0002407283,0.0001080783,0.004351451],"genre_scores_gemma":[0.4282689,0.0002538823,0.558885,0.0004000314,0.0003658078,0.000001231454,0.001488246,0.00004844686,0.01028839],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9528183,"threshold_uncertainty_score":0.999988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04779898995771891,"score_gpt":0.30399982677594,"score_spread":0.2562008368182211,"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."}}