{"id":"W2740378648","doi":"10.14288/1.0349061","title":"Computational projection display : towards efficient high brightness projection in cinema","year":2017,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Projection (relational algebra); Movie theater; Computer graphics (images); Computer science; Computer vision; Brightness; Graphical projection; Artificial intelligence; Art; Image (mathematics); Visual arts; Optics; Physics; Algorithm","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":[0.0002692478,0.0003426446,0.0003804225,0.0002241153,0.0001671589,0.0008354823,0.001060782,0.0003222838,0.003390866],"category_scores_gemma":[0.0005971302,0.0002429624,0.0002464612,0.0002839621,0.000379384,0.0007500009,0.0008337286,0.0006713476,0.0007550249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003537934,"about_ca_system_score_gemma":0.0003082866,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006794407,"about_ca_topic_score_gemma":0.0005991163,"domain_scores_codex":[0.9996929,0.00004668832,0.000009862322,0.00004418591,0.0001746835,0.00003168954],"domain_scores_gemma":[0.9997942,0.0000510768,0.00001817072,0.00004122184,0.0000708566,0.00002449759],"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":[0.000311173,0.0001628563,0.001219421,0.0003244271,0.00004812342,0.0002497769,0.0003386756,0.02368421,0.6700706,0.02591055,0.006655469,0.2710246],"study_design_scores_gemma":[0.0001047182,0.0007643194,0.00324496,0.00008015199,0.0000483998,0.0009222776,0.00008459119,0.5425342,0.3875253,0.00479896,0.05981153,0.00008050899],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09420272,0.0006072965,0.8895965,0.0003132224,0.00005700403,0.0001106671,0.000121833,0.002992984,0.01199765],"genre_scores_gemma":[0.4273647,0.0006240325,0.5642275,0.000119899,0.00005919738,0.00008352453,0.0002056986,0.0004017943,0.006913714],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003390866,"threshold_uncertainty_score":0.0113436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007612904766314313,"score_gpt":0.1956255667291273,"score_spread":0.188012661962813,"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."}}