{"id":"W2886293383","doi":"10.11159/mhci18.107","title":"Interactive Holographic Pyramid Using Two-Layer Integral Photography","year":2018,"lang":"en","type":"article","venue":"Proceedings of the World Congress on Electrical Engineering and Computer Systems and Science","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Holography; Pyramid (geometry); Photography; Computer science; Computer graphics (images); Layer (electronics); Artificial intelligence; Computer vision; Optics; Art; Visual arts; Materials science; Physics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001673185,0.0001798613,0.000223385,0.0004980123,0.0001282086,0.0001619585,0.0004017745,0.00003443489,2.174951e-7],"category_scores_gemma":[0.00004683926,0.0001266212,0.00003827279,0.001555034,0.0006671355,0.000249039,0.0001620316,0.0003061432,2.354804e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003492383,"about_ca_system_score_gemma":0.000006286961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008435068,"about_ca_topic_score_gemma":4.951608e-7,"domain_scores_codex":[0.9989893,0.000002213695,0.0001885446,0.000282182,0.0002009298,0.0003368088],"domain_scores_gemma":[0.9995465,0.00005988836,0.00005310503,0.0001081781,0.0001560263,0.00007632018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001041278,0.0001484011,0.02007926,0.0006549946,0.0002942021,0.000007611258,0.0005841028,0.04681157,0.6122054,0.2695251,0.00063506,0.04895026],"study_design_scores_gemma":[0.0001360286,0.00009549223,0.001126054,0.0002678012,0.000009297607,0.00003385332,0.00001305933,0.9700272,0.02775621,0.0002138184,0.0001581099,0.0001630926],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898396,0.0002948893,0.007739155,0.0000389247,0.001254447,0.0001736544,9.646864e-7,0.0003613943,0.0002969677],"genre_scores_gemma":[0.995216,0.00001501878,0.004625453,0.00001749087,0.00009044668,0.000008794782,2.610559e-8,0.00001403833,0.00001278809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9232156,"threshold_uncertainty_score":0.5163461,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009332287915355562,"score_gpt":0.2339856561645318,"score_spread":0.2246533682491762,"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."}}