{"id":"W2014131720","doi":"10.1117/12.925781","title":"Calibration and imaging algorithms for full-Stokes optical interferometry","year":2012,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Interferometry; Astronomical interferometer; Polarimetry; Physics; Optics; Polarization (electrochemistry); Stokes parameters; Calibration; Observable; Computer science; Remote sensing","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":[0.000719209,0.000225203,0.0002754018,0.00007986654,0.0001074278,0.0001377116,0.000397975,0.00009653826,0.00001755842],"category_scores_gemma":[0.0002916088,0.000181558,0.0002948225,0.0001822641,0.0001622749,0.0008590596,0.00005099472,0.0001760958,0.000001231768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002241933,"about_ca_system_score_gemma":0.00001508841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002656997,"about_ca_topic_score_gemma":4.744544e-7,"domain_scores_codex":[0.998405,1.521138e-8,0.0004179743,0.0002604655,0.0004973513,0.0004191771],"domain_scores_gemma":[0.998839,0.0001448143,0.0001950244,0.00003521322,0.0006140322,0.0001719376],"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":[0.0003521934,0.0002971107,0.1062678,0.001251102,0.0007926679,9.373091e-8,0.0007964208,0.0001822658,0.5664558,0.3071989,0.003652489,0.01275308],"study_design_scores_gemma":[0.004686452,0.001695706,0.1682205,0.0007701579,0.00080672,0.00009101378,0.006568665,0.6093915,0.1880449,0.01068573,0.00715552,0.001883169],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966577,0.0002407546,0.0003325563,0.001172724,0.0003656164,0.0004161696,0.0000934622,0.0000343686,0.000686653],"genre_scores_gemma":[0.9067602,0.00003382226,0.0924475,0.00009493622,0.0005401233,0.00002633352,0.00002923118,0.00001709038,0.00005071783],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6092092,"threshold_uncertainty_score":0.7403721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01673562633651868,"score_gpt":0.2242985294061836,"score_spread":0.2075629030696649,"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."}}