{"id":"W2955088171","doi":"","title":"Who Rules Infovis? Unwrapping the Conference Organization","year":2015,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":[0.002852451,0.0001278456,0.0001254086,0.00009004876,0.0003265386,0.0009288437,0.001686738,0.00005662641,0.00004450676],"category_scores_gemma":[0.002050682,0.0001061068,0.00003481727,0.0009555445,0.0001309216,0.0005918946,0.0006447672,0.0001285523,0.0001438983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004335625,"about_ca_system_score_gemma":0.0002617164,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001388843,"about_ca_topic_score_gemma":0.0001477682,"domain_scores_codex":[0.997261,0.001595661,0.0002682763,0.0003090774,0.0003704173,0.0001955655],"domain_scores_gemma":[0.9952271,0.0003925502,0.0002008178,0.00127961,0.002750261,0.0001496403],"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":[4.924804e-7,0.00007013022,0.001325161,0.000006948208,0.00001053214,8.386325e-7,0.007498043,0.00003054024,0.0001996711,0.9731094,0.004640857,0.01310738],"study_design_scores_gemma":[0.001113196,0.000001051356,0.006641295,0.0005708055,0.00002941395,0.00002905958,0.0009337935,0.7304723,0.0338422,0.02069607,0.2049765,0.0006942815],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006071244,0.00008944739,0.9464577,0.01536784,0.00008980426,0.0001084518,0.000006669322,0.0002289235,0.03157993],"genre_scores_gemma":[0.9438229,0.0001799242,0.04538986,0.001024047,0.00002321682,0.000008019714,0.0002180521,0.0000228035,0.009311195],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9524133,"threshold_uncertainty_score":0.8956861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02703633409953011,"score_gpt":0.2469267556912623,"score_spread":0.2198904215917322,"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."}}