{"id":"W2537477742","doi":"10.1145/2984511.2984524","title":"HoloFlex","year":2016,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Computer graphics (images); Stereoscopy; Computer vision; Microlens; Artificial intelligence; Stereo display; Pixel; Parallax; Lens (geology); Optics; 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":[0.0003111817,0.0009057063,0.0004154041,0.0008030513,0.0006647818,0.001152959,0.001259664,0.0008299296,0.117389],"category_scores_gemma":[0.0007133095,0.000398511,0.000422489,0.0004545152,0.0002710138,0.00158587,0.001851198,0.0005344452,0.0342162],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004373957,"about_ca_system_score_gemma":0.0004501716,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002406636,"about_ca_topic_score_gemma":0.0030629,"domain_scores_codex":[0.9996132,0.00002109482,0.00001882334,0.00008461547,0.0001770692,0.00008514714],"domain_scores_gemma":[0.9995968,0.00006750578,0.00003610149,0.00009647669,0.0001194859,0.00008357774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003166803,0.0002589186,0.006567332,0.001454391,0.00005896974,0.001757173,0.0009161005,0.001290552,0.1488368,0.01333135,0.3158518,0.5065097],"study_design_scores_gemma":[0.0001417535,0.0005096329,0.00553468,0.0001550038,0.00004774178,0.00175976,0.0001521414,0.003508924,0.04648898,0.001222957,0.9403898,0.00008868144],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1207425,0.005237323,0.1186078,0.001296648,0.001099332,0.001293289,0.02413664,0.08318993,0.6443965],"genre_scores_gemma":[0.3578838,0.002733853,0.09671395,0.001702783,0.0002559055,0.0008931484,0.04228896,0.007701606,0.489826],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.117389,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005959754114966177,"score_gpt":0.1918090661327776,"score_spread":0.1858493120178114,"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."}}