{"id":"W2580961543","doi":"10.1109/ipcon.2016.7831280","title":"A differential ellipsometric method for accurate chirality measurement","year":2016,"lang":"en","type":"article","venue":"","topic":"Optical Polarization and Ellipsometry","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Chirality (physics); Ellipsometry; Optics; Reflection (computer programming); Characterization (materials science); Dispersion (optics); Differential (mechanical device); Materials science; Physics; Computer science; Thin film; Nanotechnology","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":[0.0002195121,0.0001182871,0.0001451604,0.0001685436,0.00003781481,0.00002854143,0.0001023949,0.00006669819,0.0005429639],"category_scores_gemma":[0.0001910618,0.00007299805,0.00008547711,0.0003469364,0.00001145105,0.0001011678,0.00001611934,0.00004222438,0.0002048828],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007820597,"about_ca_system_score_gemma":0.000007952597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002159292,"about_ca_topic_score_gemma":0.000003137492,"domain_scores_codex":[0.9991677,0.00001878095,0.0002029594,0.0001451465,0.000215378,0.0002500444],"domain_scores_gemma":[0.9995307,0.0001019225,0.00001491663,0.0001607679,0.00007971447,0.0001119922],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00008517982,0.0003037043,0.001447004,0.0004195973,0.0004597331,9.749281e-7,0.00006628239,0.001159594,0.4156125,0.06437687,0.02032726,0.4957413],"study_design_scores_gemma":[0.007107909,0.0003552934,0.02857888,0.0001114796,0.0002144732,0.000004868246,0.00003691292,0.2636967,0.5446749,0.01338688,0.1399391,0.001892585],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003678591,0.00004407248,0.9909195,0.0002766096,0.0004315263,0.0001962713,0.00001480709,0.0003419915,0.004096574],"genre_scores_gemma":[0.9708872,0.00002641609,0.02779449,0.00007699726,0.0001402785,0.0000290702,0.000002352298,0.00002688602,0.001016356],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9672086,"threshold_uncertainty_score":0.5945074,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085675213767381,"score_gpt":0.274537510665785,"score_spread":0.2336807585281112,"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."}}