{"id":"W3132074301","doi":"10.5220/0010195201470154","title":"SIMDGiraffe: Visualizing SIMD Functions","year":2021,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Computer science; SIMD; Computer graphics (images); Parallel computing","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":[0.00008629318,0.00006161835,0.00007018958,0.00004802051,0.0001108644,0.0002705973,0.0002631631,0.00002461192,0.000351107],"category_scores_gemma":[0.00007241185,0.00005786608,0.00004115535,0.0006385698,0.00001217041,0.0004023467,0.0002232227,0.00004366711,0.0005263818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001232107,"about_ca_system_score_gemma":0.00007594139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004559186,"about_ca_topic_score_gemma":0.00001651117,"domain_scores_codex":[0.9993137,0.00003374674,0.0001258166,0.0002285762,0.0001618512,0.0001363533],"domain_scores_gemma":[0.9993504,0.00004026471,0.00002427155,0.0003964937,0.0001142657,0.00007424725],"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":[2.920634e-7,0.0001108801,0.0003764689,0.000007712654,0.00001869125,0.00002212076,0.0001276867,0.0001616687,0.001256489,0.8692042,0.1135674,0.01514635],"study_design_scores_gemma":[0.0002077212,0.00002297371,0.0002472649,0.000009164641,0.000007686624,0.00002226887,0.0002062119,0.3354037,0.00554025,0.001418692,0.6567127,0.0002014325],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0002469091,0.00004018902,0.9402928,0.0009598745,0.0002630325,0.00001752595,0.000002359966,0.0002491552,0.05792814],"genre_scores_gemma":[0.7661398,0.00008346627,0.07769486,0.01761506,0.0002961919,0.000007589083,0.0001790602,0.00002704752,0.1379569],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8677855,"threshold_uncertainty_score":0.6765749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02974628530628841,"score_gpt":0.3148482718368173,"score_spread":0.2851019865305289,"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."}}