{"id":"W4311806032","doi":"10.1145/3550454.3555524","title":"QuadStream","year":2022,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Rendering (computer graphics); Computer graphics (images); View synthesis; Computer vision; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001071082,0.001716172,0.001109959,0.001121092,0.0009093674,0.004028408,0.004301765,0.001662969,0.1694236],"category_scores_gemma":[0.004595403,0.001202999,0.001123493,0.00101714,0.000631955,0.003866415,0.004952049,0.00279992,0.07575711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001304221,"about_ca_system_score_gemma":0.001844976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00563223,"about_ca_topic_score_gemma":0.005335752,"domain_scores_codex":[0.998872,0.0001013791,0.0000871376,0.0001962559,0.000540594,0.0002026367],"domain_scores_gemma":[0.9984743,0.0002289607,0.00005708079,0.0004121505,0.0006316403,0.0001957307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00163564,0.0002241802,0.001542145,0.0007894696,0.0001025376,0.0004074268,0.0004738675,0.004192836,0.0167636,0.03386543,0.7299066,0.2100962],"study_design_scores_gemma":[0.0005643098,0.0002563855,0.001154042,0.0001820112,0.0000662325,0.0005758905,0.0001565979,0.06988222,0.02050454,0.02518552,0.8812976,0.0001745963],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"software","genre_gemma":"empirical","genre_scores_codex":[0.00961458,0.002108417,0.2746969,0.001388021,0.002045834,0.001416358,0.03077773,0.5183261,0.159626],"genre_scores_gemma":[0.1449779,0.003511243,0.2531209,0.003898041,0.0008802821,0.002172908,0.1416797,0.1357621,0.3139969],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1694236,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02533350675202241,"score_gpt":0.2814426426088041,"score_spread":0.2561091358567817,"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."}}