{"id":"W2008749287","doi":"10.1364/ao.46.003518","title":"Imaging diffractometer with holographic encoding enhancements for laser sensing and characterization","year":2007,"lang":"en","type":"article","venue":"Applied Optics","topic":"Photorefractive and Nonlinear Optics","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"General Dynamics (Canada)","funders":"","keywords":"Holography; Optics; Cardinal point; Laser; Diffractometer; Holographic display; Physics; Encoding (memory); Wavelength; Computer science; Artificial intelligence","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":[0.0001384258,0.0001223685,0.0001190639,0.0000715655,0.0001153513,0.00004870555,0.00003625414,0.0000227491,0.000006209835],"category_scores_gemma":[0.000001720187,0.000107881,0.00002199461,0.0001073123,0.00004345865,0.0000958324,0.00002331844,0.0000880224,0.00000211949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008724199,"about_ca_system_score_gemma":0.000009147258,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003245349,"about_ca_topic_score_gemma":0.000001013795,"domain_scores_codex":[0.9993659,0.000003427304,0.0001335982,0.0001823319,0.00007889963,0.000235894],"domain_scores_gemma":[0.9996116,0.00008392494,0.00009734925,0.0001016855,0.00005226507,0.00005320958],"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":[0.0001772622,0.0001142099,0.04012053,0.00002198884,0.000109136,0.000003065643,0.000346797,0.000002294292,0.9025912,0.002582988,0.000004392231,0.05392615],"study_design_scores_gemma":[0.002639693,0.0001221558,0.03135346,0.00005588825,0.0001925888,0.000004154006,0.001015569,0.005838855,0.9529966,0.001923376,0.003133315,0.0007243842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7019122,0.000001736742,0.2958223,0.00001180694,0.00003458603,0.0001834415,0.0000147852,0.00001276576,0.002006484],"genre_scores_gemma":[0.9824615,0.000003534145,0.01700938,0.0001137636,0.0002122328,0.000007188067,0.0001325145,0.00002294128,0.00003699434],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2805493,"threshold_uncertainty_score":0.4399259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008762527947249832,"score_gpt":0.247462440307176,"score_spread":0.2386999123599262,"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."}}