{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.002119822,0.0005370833,0.0009274355,0.00362378,0.00159226,0.0001463618,0.004869258,0.0009404456,0.0004050986],"category_scores_gemma":[0.0005123437,0.0007935529,0.0004032881,0.002171013,0.002046675,0.005391857,0.007789204,0.001195662,0.0001362631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008205058,"about_ca_system_score_gemma":0.001487727,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007260065,"about_ca_topic_score_gemma":0.002736739,"domain_scores_codex":[0.9954442,0.0003453159,0.0007297561,0.0009436918,0.001322511,0.001214457],"domain_scores_gemma":[0.9922134,0.000242473,0.001679459,0.001807783,0.003664455,0.0003923839],"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":[0.0006459231,0.000990268,0.003251223,0.003560237,0.001491969,0.0001315287,0.02286204,0.003441434,0.001027325,0.9132723,0.009041857,0.04028394],"study_design_scores_gemma":[0.005748989,0.000786994,0.0006649592,0.003586323,0.0009660418,0.00004068541,0.1084858,0.6011889,0.004781785,0.004287185,0.2676238,0.001838541],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04467361,0.0006110896,0.942573,0.001772729,0.0004759521,0.001873893,0.004898646,0.0003406903,0.00278039],"genre_scores_gemma":[0.3455932,0.00682825,0.6255066,0.00007081634,0.0001679821,0.000001230233,0.01201568,0.0001202544,0.009695929],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9089851,"threshold_uncertainty_score":0.9997075,"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."}}