{"id":"W2346931493","doi":"10.5555/2981324.2981340","title":"Daisy visualization for graphs","year":2016,"lang":"en","type":"article","venue":"Non-Photorealistic Animation and Rendering","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Visualization; Graph drawing; Computer science; Information visualization; Graph; Data visualization; Human–computer interaction; Theoretical computer science; Data science; Information retrieval; Artificial intelligence","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":[0.000207985,0.0001032098,0.0001115256,0.0001217459,0.0001506412,0.0001434719,0.0001801877,0.00004714758,0.00001797978],"category_scores_gemma":[0.00009684571,0.00007403916,0.00003263154,0.0001930645,0.00003222077,0.0004208815,0.00006465943,0.00001779177,0.000005232162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002417083,"about_ca_system_score_gemma":0.00002592977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001288532,"about_ca_topic_score_gemma":0.000007183347,"domain_scores_codex":[0.9991933,0.00001892124,0.0002170569,0.000261152,0.0001543766,0.0001551669],"domain_scores_gemma":[0.9994219,0.00009851959,0.0001005981,0.0001971717,0.00009706606,0.0000847513],"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":[0.000006185619,0.00002063639,0.0001939811,0.00006585484,0.0000172903,9.79555e-7,0.000370726,0.000005132551,0.007632151,0.9705501,0.002192193,0.01894473],"study_design_scores_gemma":[0.002383001,0.0002435615,0.005731131,0.0002692012,0.00005562282,0.00002848776,0.0001985815,0.8859246,0.0100463,0.05907089,0.03532965,0.0007190074],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0008140899,0.00001221335,0.9972194,0.0002421929,0.0001428235,0.0001509661,0.00003313356,0.0001235226,0.001261612],"genre_scores_gemma":[0.9809737,0.0001088791,0.01784113,0.0004232108,0.00005769208,0.00003098675,0.00008011694,0.00001565465,0.0004686709],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9801596,"threshold_uncertainty_score":0.3019229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02797503956005728,"score_gpt":0.304007348158856,"score_spread":0.2760323085987987,"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."}}