{"id":"W1991428219","doi":"10.1109/ipcon.2013.6656469","title":"Binary-to-ternary sparsity encoding for holographic data storage","year":2013,"lang":"en","type":"article","venue":"","topic":"Photorefractive and Nonlinear Optics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Holographic data storage; Holography; Fourier transform; Pixel; Ternary operation; Computer science; Encoding (memory); Spatial light modulator; Optics; Binary number; Binary data; Frequency domain; Amplitude; Phase (matter); Computer data storage; Coding (social sciences); Artificial intelligence; Computer vision; Physics; Mathematics; Computer hardware","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001004782,0.00009963867,0.0001168166,0.00005536485,0.00009735282,0.00004473525,0.0003714999,0.0000228874,0.0007276023],"category_scores_gemma":[0.000006135307,0.00008578922,0.00004772523,0.00009882599,0.00002002079,0.0003255815,0.0002523741,0.00008137921,0.0002293778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006207143,"about_ca_system_score_gemma":0.00001813865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004326725,"about_ca_topic_score_gemma":0.000004952034,"domain_scores_codex":[0.9993489,0.00001308992,0.0001022261,0.0002604087,0.00006484572,0.0002105522],"domain_scores_gemma":[0.9992586,0.00007025208,0.00003785241,0.0004807266,0.00005351605,0.00009902154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001248496,0.001548701,0.5399453,0.0000473939,0.0005457375,0.00001013386,0.0004544849,0.00006102567,0.1974461,0.007578759,0.2271846,0.02505298],"study_design_scores_gemma":[0.004830925,0.001658498,0.236895,0.0001249477,0.0003393048,0.0000058109,0.003016912,0.1512907,0.08549416,0.02134011,0.4918143,0.00318931],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9610908,0.00000750181,0.02844596,0.0002526798,0.0001436742,0.0004233987,0.0002423218,0.00002972999,0.009363906],"genre_scores_gemma":[0.9877636,0.00000132813,0.0103945,0.0001925253,0.000338013,0.00003428846,0.0002549596,0.0000125398,0.001008264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3030503,"threshold_uncertainty_score":0.7966735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05795197065688492,"score_gpt":0.3088458120824734,"score_spread":0.2508938414255885,"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."}}