{"id":"W2005796613","doi":"10.1145/2601097.2601122","title":"Eyeglasses-free display","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Information and Intelligent Systems; Natural Sciences and Engineering Research Council of Canada","keywords":"Eyewear; Computer science; Computer vision; Artificial intelligence; Observer (physics); Computer graphics (images); Light field; Depth of field; Contrast (vision); Optics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008498794,0.0003761406,0.000251683,0.0003156971,0.0003513398,0.000750409,0.0008472662,0.0004293855,0.03031934],"category_scores_gemma":[0.0004912206,0.0001712556,0.0003249637,0.0002302383,0.0001634257,0.0008591528,0.0008793913,0.0004574269,0.004457571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003708365,"about_ca_system_score_gemma":0.0002750233,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001911771,"about_ca_topic_score_gemma":0.002234634,"domain_scores_codex":[0.999866,0.00001026043,0.000004820584,0.00002408725,0.00007418887,0.00002072306],"domain_scores_gemma":[0.9998333,0.00003125784,0.00001424081,0.00004738008,0.00005646106,0.00001725493],"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":[0.0006872694,0.0001823785,0.002787197,0.0006342627,0.000111138,0.0007686219,0.000441574,0.01356904,0.5440212,0.03269354,0.1016376,0.3024662],"study_design_scores_gemma":[0.0002454217,0.0007168911,0.01507985,0.0001946551,0.000180713,0.002736925,0.0002839395,0.2077431,0.3491981,0.01308071,0.4102758,0.0002639745],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2263715,0.003544508,0.5608363,0.001504019,0.0008231468,0.0003050104,0.004062128,0.0200799,0.1824734],"genre_scores_gemma":[0.7653497,0.00137709,0.1359309,0.0009264683,0.0001579853,0.000185801,0.002347166,0.0009507704,0.09277405],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03031934,"threshold_uncertainty_score":0.1014283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01060007925494276,"score_gpt":0.230921228793407,"score_spread":0.2203211495384643,"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."}}