{"id":"W2311061725","doi":"","title":"Visualizing Streamlines using Depth-Dependent Halos","year":2011,"lang":"fr","type":"preprint","venue":"University of Groningen research database (University of Groningen / Centre for Information Technology)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Science Foundation","keywords":"Streamlines, streaklines, and pathlines; Halo; Computer science; Artificial intelligence; Geology; Computer graphics (images); Physics; Astronomy","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008984631,0.001093897,0.0004771079,0.001995246,0.0004470868,0.001954653,0.0007366443,0.0007552954,0.01063245],"category_scores_gemma":[0.006626018,0.0004889607,0.0006734183,0.001024921,0.0006398704,0.001909585,0.003228268,0.001462902,0.001191049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004167789,"about_ca_system_score_gemma":0.0005420853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001088906,"about_ca_topic_score_gemma":0.001221849,"domain_scores_codex":[0.9996136,0.0001248477,0.00002861658,0.00004562083,0.0001370624,0.00005029186],"domain_scores_gemma":[0.9965625,0.00202865,0.0002670803,0.000414176,0.0004147995,0.000312779],"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":[0.001660633,0.000196391,0.004163821,0.001803938,0.0001825832,0.002237808,0.008489699,0.07993194,0.3318458,0.07259264,0.0302432,0.4666516],"study_design_scores_gemma":[0.0003087816,0.000461427,0.005984899,0.0006325766,0.0001228946,0.002479156,0.001522372,0.5370982,0.2216924,0.07105891,0.1582464,0.0003919951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02928847,0.0003965289,0.9564927,0.0004849018,0.00009459983,0.0001273655,0.0007563134,0.008385662,0.003973488],"genre_scores_gemma":[0.2931587,0.001136843,0.6978985,0.0002597786,0.0001442821,0.0003460101,0.0009101764,0.003161286,0.00298446],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01063245,"threshold_uncertainty_score":0.03556913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.116950524727319,"score_gpt":0.3229132712586329,"score_spread":0.2059627465313139,"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."}}