{"id":"W2346395279","doi":"10.1145/2857051","title":"High Brightness HDR Projection Using Dynamic Freeform Lensing","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"King Abdullah University of Science and Technology","keywords":"Projector; Computer science; Luminance; Brightness; Computer vision; Stereoscopy; Computer graphics (images); Artificial intelligence; Frame rate; Projection (relational algebra); Image quality; Optics; Image (mathematics); Physics","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":[0.0001486823,0.0004041288,0.0002704304,0.0002180532,0.0001768185,0.000639037,0.0006483612,0.0002641824,0.00366747],"category_scores_gemma":[0.0003556742,0.0002573161,0.0003141602,0.0002522358,0.000310253,0.0007100357,0.0008087831,0.0004068941,0.0009764936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004120562,"about_ca_system_score_gemma":0.0003420151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001377878,"about_ca_topic_score_gemma":0.001729533,"domain_scores_codex":[0.9997806,0.00002011887,0.000006610486,0.00003240337,0.0001421015,0.00001821395],"domain_scores_gemma":[0.9998797,0.00002826003,0.00001410514,0.00003111062,0.00003552968,0.00001129298],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001812324,0.0001019257,0.001117668,0.0002562474,0.00005804481,0.0001978373,0.0002291782,0.07073469,0.4752821,0.03427413,0.004039745,0.4135272],"study_design_scores_gemma":[0.00007317652,0.0003473138,0.001546081,0.00004627675,0.00003041446,0.0007291525,0.00005523169,0.7135091,0.2468358,0.006767916,0.02997976,0.00007973961],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03703176,0.0002211139,0.9522887,0.00008453753,0.00002133322,0.00004627762,0.00004374129,0.001407534,0.0088551],"genre_scores_gemma":[0.3217392,0.0003467788,0.6691051,0.00005487869,0.00002677948,0.00006128574,0.0001237244,0.0002182096,0.008324093],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00366747,"threshold_uncertainty_score":0.0122689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01843043098456143,"score_gpt":0.2502068029867147,"score_spread":0.2317763720021532,"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."}}