{"id":"W2990256309","doi":"10.1109/iccv.2019.00787","title":"Extreme View Synthesis","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":191,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"","keywords":"Image warping; Leverage (statistics); Extrapolation; Classification of discontinuities; Computer science; View synthesis; Prior probability; Artificial intelligence; Computer vision; Pixel; Extreme value theory; Context (archaeology); Image (mathematics); Algorithm; Mathematics; Statistics; Bayesian probability; Geology; Rendering (computer graphics)","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":[0.0006477954,0.001139409,0.000823724,0.0005099016,0.000343661,0.001338693,0.001157033,0.001079265,0.008395679],"category_scores_gemma":[0.002338774,0.0006288766,0.001119841,0.0003373753,0.0006297727,0.001262475,0.002823777,0.001781443,0.00232403],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003777614,"about_ca_system_score_gemma":0.0005042115,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006079195,"about_ca_topic_score_gemma":0.001016427,"domain_scores_codex":[0.9993001,0.00009031987,0.00002975044,0.0001743751,0.0003332302,0.00007216726],"domain_scores_gemma":[0.9992214,0.0002237884,0.00006447238,0.0002579173,0.0001664425,0.00006603385],"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":[0.0005634756,0.0001128102,0.001293133,0.0004637942,0.0002087496,0.0006090433,0.0003613059,0.240399,0.2175151,0.04985638,0.01404416,0.474573],"study_design_scores_gemma":[0.00007755766,0.0002172076,0.0004889334,0.00007749799,0.00004964603,0.001024307,0.00006795055,0.8386391,0.08738892,0.03412047,0.03776543,0.00008291406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003483702,0.0001102992,0.9929462,0.00005015649,0.00005275539,0.00002707717,0.00007912048,0.0007916384,0.002459184],"genre_scores_gemma":[0.1486514,0.0002580898,0.8442342,0.0002823417,0.00008084644,0.0001409214,0.0005295104,0.0007089518,0.005113743],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008395679,"threshold_uncertainty_score":0.0280863,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02774131382795784,"score_gpt":0.2627675919348478,"score_spread":0.2350262781068899,"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."}}