{"id":"W2280944067","doi":"10.1103/physreva.93.033839","title":"Three-photon Stokes-Mueller polarimetry","year":2016,"lang":"en","type":"article","venue":"Physical review. A/Physical review, A","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Mueller calculus; Polarimetry; Stokes parameters; Isotropy; Matrix (chemical analysis); Physics; Polarization (electrochemistry); Optics; Scattering; Materials science; Chemistry","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":[0.0007834275,0.0006208086,0.0004938808,0.001358089,0.0006694579,0.001299944,0.000762077,0.0008687646,0.003169029],"category_scores_gemma":[0.0009606645,0.0003658632,0.0004735516,0.001270373,0.001093991,0.001197889,0.001566141,0.001465684,0.001012373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009807461,"about_ca_system_score_gemma":0.0008209614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006178039,"about_ca_topic_score_gemma":0.0007892129,"domain_scores_codex":[0.9993715,0.0001493894,0.00001591533,0.00008985995,0.000309748,0.00006361963],"domain_scores_gemma":[0.999621,0.0001230126,0.00004579012,0.0000875167,0.00009999832,0.00002271138],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001058979,0.00007055209,0.001608235,0.000440157,0.00004308422,0.0002967384,0.0004586657,0.02847131,0.1691784,0.6968668,0.00892344,0.09353688],"study_design_scores_gemma":[0.00002827044,0.00009155255,0.001921656,0.0001152396,0.0000285338,0.0009388124,0.0003074376,0.3092308,0.3189101,0.2993327,0.06891367,0.0001811778],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03553404,0.001981654,0.9255511,0.0007526761,0.0002683928,0.0001610679,0.001137031,0.001021806,0.03359229],"genre_scores_gemma":[0.4915569,0.005128455,0.482281,0.0003771394,0.0001264635,0.0003605766,0.0009196813,0.0002083735,0.01904133],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003169029,"threshold_uncertainty_score":0.01060146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01440095800283957,"score_gpt":0.3163337469399876,"score_spread":0.301932788937148,"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."}}