{"id":"W2345320856","doi":"10.1145/2851581.2890257","title":"GaussBox","year":2016,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"European Research Council; Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Human–computer interaction; Craft; Visualization; Interaction design; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003845144,0.00001906784,0.00001956607,0.00001844053,0.00001319119,0.00003191372,0.0002479299,0.000006416496,0.0002235322],"category_scores_gemma":[0.00001457002,0.000009573493,0.000008621613,0.00008202068,0.000006762857,0.0002260763,0.00006772316,0.000004268493,0.0008401155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000334912,"about_ca_system_score_gemma":0.000007997995,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.771019e-7,"about_ca_topic_score_gemma":8.733967e-7,"domain_scores_codex":[0.9997737,0.000005059199,0.00003888632,0.00007203242,0.00005731884,0.00005293413],"domain_scores_gemma":[0.9997518,0.00001312966,0.000007849749,0.0001842245,0.00001512259,0.00002784807],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[4.355483e-8,0.000004715376,0.0001905063,2.194156e-7,7.404716e-7,5.714933e-7,0.000005898899,6.13117e-8,0.0003942556,0.9397537,0.02498647,0.03466288],"study_design_scores_gemma":[0.0003106247,0.00002541806,0.001309881,0.000009835949,0.000001107182,0.000004788055,0.000004865506,0.01459098,0.01185485,0.02000959,0.9517277,0.0001502961],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00007564678,0.000001962645,0.9628814,0.002729106,0.00005260964,0.000006799331,4.580312e-7,0.00009650166,0.03415545],"genre_scores_gemma":[0.852451,0.00003007947,0.0523829,0.005128606,0.00006114544,0.000001310075,0.000001119861,0.000004306538,0.08993948],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9267413,"threshold_uncertainty_score":0.9999378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02281916782210229,"score_gpt":0.2894154769053476,"score_spread":0.2665963090832453,"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."}}