{"id":"W2331262350","doi":"10.1021/ac401864g","title":"Combined Stokes Vector and Mueller Matrix Polarimetry for Materials Characterization","year":2013,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Mueller calculus; Polarimeter; Polarimetry; Stokes parameters; Polarization (electrochemistry); Characterization (materials science); Isotropy; Matrix (chemical analysis); Chemistry; Optics; Physics; Scattering; Chromatography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001815648,0.001620067,0.001080163,0.004218321,0.0005902976,0.001506577,0.00110454,0.001013616,0.00471961],"category_scores_gemma":[0.002006217,0.0009042805,0.0007512759,0.003353385,0.001018558,0.003361148,0.001926409,0.002299716,0.002552701],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006242129,"about_ca_system_score_gemma":0.0007605948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004494493,"about_ca_topic_score_gemma":0.00151764,"domain_scores_codex":[0.9969868,0.000567818,0.00009026336,0.0003735683,0.001847882,0.0001337849],"domain_scores_gemma":[0.9985614,0.0005284832,0.0001169536,0.0003094403,0.0004344636,0.00004924021],"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":[0.000194951,0.0002431337,0.001212752,0.0006275406,0.0001256493,0.0001216611,0.0001943423,0.01015229,0.7003755,0.05979558,0.006122631,0.220834],"study_design_scores_gemma":[0.00002380929,0.0002651597,0.001102053,0.00008010486,0.00008232372,0.0006576637,0.0001003078,0.1509217,0.763518,0.02521038,0.05784009,0.0001983463],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01303619,0.004816214,0.9715549,0.0003130844,0.0003646672,0.000143727,0.000472591,0.002132006,0.007166591],"genre_scores_gemma":[0.0872121,0.004660557,0.9008523,0.0001899528,0.0002503468,0.0002317668,0.0004992914,0.0003537711,0.005749939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00471961,"threshold_uncertainty_score":0.01578867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006512796632027594,"score_gpt":0.2172068700269167,"score_spread":0.2106940733948891,"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."}}