{"id":"W7096560941","doi":"","title":"OSA Topical Meeting on Digital Holography and Three-Dimensional Imaging 2009, Vancouver, PDWB38(2009.4) A High-Definition Full-Parallax CGH Created by the Polygon-Based Method","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Optical Imaging Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Holography; Computer-generated holography; Pixel; Digital holography; Holographic display; Stereo display; Digital imaging","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001961947,0.0003226995,0.0002833562,0.0001455157,0.0001595811,0.0001198942,0.0002235513,0.0001245393,0.00002807736],"category_scores_gemma":[0.000311342,0.0002326957,0.00008239118,0.0002827144,0.0002495895,0.0002286118,0.00009330097,0.0004119748,0.00001624482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004342929,"about_ca_system_score_gemma":0.000007680147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006032413,"about_ca_topic_score_gemma":0.00003885278,"domain_scores_codex":[0.9985332,0.00004200808,0.0002936947,0.0004040631,0.0002466402,0.0004803988],"domain_scores_gemma":[0.9985296,0.0008941054,0.00005038212,0.000388219,0.0000502342,0.00008751876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006349905,0.0007053228,0.02803891,0.0002351924,0.0005265818,0.0001278246,0.00008728998,0.1596975,0.1175613,0.05274347,0.1137558,0.5258858],"study_design_scores_gemma":[0.002705141,0.0004176762,0.003810414,0.0002172156,0.0001036668,0.00005452823,0.0001060276,0.8839124,0.04075123,0.06204717,0.004504267,0.001370228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2623541,0.0005598593,0.7241995,0.002052706,0.0003977008,0.0003432741,0.00006945326,0.003251632,0.006771793],"genre_scores_gemma":[0.8674903,0.00000743792,0.1317971,0.0005350119,0.00004094858,0.00002986962,0.00002757768,0.00004502834,0.0000267361],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7242149,"threshold_uncertainty_score":0.9489056,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007104949319677627,"score_gpt":0.215185444521449,"score_spread":0.2080804952017714,"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."}}