{"id":"W2058653216","doi":"10.1002/jbio.200810040","title":"Mueller matrix decomposition for polarized light assessment of biological tissues","year":2008,"lang":"en","type":"article","venue":"Journal of Biophotonics","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":162,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University Health Network; University of Toronto; Ontario Institute for Cancer Research","funders":"Canada Research Chairs","keywords":"Mueller calculus; Birefringence; Optical rotation; Polar decomposition; Polarization (electrochemistry); Matrix (chemical analysis); Biological tissue; Optics; Chemistry; Biological system; Materials science; Polarimetry; Physics; Polar; Scattering; Biology","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":[0.0008459477,0.0007262971,0.0003095826,0.001637748,0.0002830995,0.0005381269,0.0003353943,0.0004188528,0.0025414],"category_scores_gemma":[0.001720144,0.0002412786,0.0003031395,0.001033134,0.0003470947,0.0006442944,0.000623769,0.0007009322,0.0007139614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002817468,"about_ca_system_score_gemma":0.0005443303,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004634977,"about_ca_topic_score_gemma":0.0007735957,"domain_scores_codex":[0.9995667,0.0001492543,0.00001654784,0.00003884315,0.0002064802,0.00002207384],"domain_scores_gemma":[0.9993219,0.000288181,0.0000853851,0.00007705975,0.0001955777,0.00003176966],"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":[0.0002834189,0.0001188807,0.001432201,0.0005868414,0.00007102345,0.000199432,0.0003563941,0.04251668,0.5215928,0.05373536,0.004667784,0.3744392],"study_design_scores_gemma":[0.0000313331,0.0002074242,0.003405212,0.0000848183,0.0000337124,0.0008131084,0.0001997044,0.7766921,0.1621809,0.03012015,0.02611296,0.0001184834],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01737693,0.0007176228,0.9788647,0.0001028998,0.00003293527,0.00007413235,0.0002171606,0.0005736746,0.002040016],"genre_scores_gemma":[0.1078404,0.0009210463,0.8893265,0.00003305406,0.00002611258,0.0001571453,0.0003079619,0.0001074146,0.001280518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0025414,"threshold_uncertainty_score":0.008501828,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0230013100093004,"score_gpt":0.3132700997582917,"score_spread":0.2902687897489913,"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."}}