{"id":"W2295082115","doi":"10.1145/2847220.2847234","title":"The Ignite Distributed Collaborative Visualization System","year":2015,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Cloud Computing and Remote Desktop Technologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Visualization; Computer science; Data science; Data mining","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":[0.007035844,0.0001770004,0.0002614244,0.0001846053,0.0004540949,0.0002575377,0.001775441,0.00007998172,0.0000012631],"category_scores_gemma":[0.008193769,0.0001146001,0.00005664443,0.007232945,0.00006164569,0.0003295517,0.0004955611,0.0001540535,0.0001184647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003827492,"about_ca_system_score_gemma":0.0004170194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002706533,"about_ca_topic_score_gemma":6.39733e-7,"domain_scores_codex":[0.9971596,0.0004170379,0.0005462054,0.0003492344,0.001253545,0.0002743798],"domain_scores_gemma":[0.9951807,0.0004769337,0.0004427347,0.001384801,0.002430835,0.0000839832],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000003136802,0.00002581028,0.0004364019,0.0003992164,0.00002550977,0.000001043352,0.0001155045,0.001191315,0.000004691723,0.01361387,0.01548749,0.968696],"study_design_scores_gemma":[0.0004415137,0.0001752274,0.001317038,0.001175945,0.0000667879,0.000021155,0.0001654472,0.9374545,0.0003068259,0.0005934472,0.05801314,0.0002689863],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0341384,0.3772359,0.5673714,0.008323763,0.003578358,0.004301204,0.00001310909,0.002313676,0.002724137],"genre_scores_gemma":[0.9313799,0.05773785,0.009917528,0.0004765758,0.0001265243,0.0001694338,0.00008054199,0.00001950731,0.00009218485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.968427,"threshold_uncertainty_score":0.98093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07316597850693313,"score_gpt":0.3415475716628705,"score_spread":0.2683815931559373,"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."}}