{"id":"W2066304753","doi":"10.1117/12.612648","title":"Polarimetry: measurements, error analysis, and application","year":2005,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Microstructural Sciences","funders":"","keywords":"Polarimetry; Computer science; Error analysis; Remote sensing; Optics; Geology; Mathematics; Physics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004936741,0.0002750134,0.0003865771,0.0002437465,0.00007000936,0.0001026678,0.0005043783,0.0001951655,0.00001768299],"category_scores_gemma":[0.0002641629,0.0002471482,0.0004244578,0.0008897582,0.000139885,0.0004867,0.00008187553,0.0002669457,0.000004901853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001587583,"about_ca_system_score_gemma":0.00001256309,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007635638,"about_ca_topic_score_gemma":4.898298e-7,"domain_scores_codex":[0.9981855,1.006692e-8,0.0005980645,0.0003032929,0.0005830338,0.0003301308],"domain_scores_gemma":[0.9987728,0.00006722745,0.0001573733,0.00006346375,0.0007542953,0.0001848619],"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":[0.00003832408,0.0001426889,0.007002657,0.000505977,0.00225644,1.779573e-8,0.0001376825,0.00321618,0.7597464,0.2224214,0.002280084,0.002252159],"study_design_scores_gemma":[0.00183578,0.0002150244,0.02333483,0.0001543093,0.001691685,0.00001049219,0.0007373994,0.6551384,0.2919331,0.0008896092,0.02305032,0.00100914],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930065,0.0003098305,0.001355124,0.001112033,0.0001032279,0.0003635419,0.00003335722,0.0001727371,0.003543603],"genre_scores_gemma":[0.8632529,0.0001054624,0.1359169,0.0001228268,0.000348749,0.00004404229,0.00001725608,0.00005906709,0.0001327677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6519222,"threshold_uncertainty_score":0.9999981,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01223488596336257,"score_gpt":0.2320584760473776,"score_spread":0.219823590084015,"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."}}