{"id":"W2900761061","doi":"10.15278/isms.2018.tc08","title":"ENANTIOMERIC EXCESS MEASUREMENTS USING MICROWAVE THREE-WAVE MIXING","year":2018,"lang":"en","type":"article","venue":"Proceedings of the 73rd International Symposium on Molecular Spectroscopy","topic":"Electron Spin Resonance Studies","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mixing (physics); Microwave; Four-wave mixing; Materials science; Physics; Optics; Nonlinear optics; Quantum mechanics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009080068,0.0006557904,0.0002583057,0.001329652,0.0004674697,0.0007160573,0.0006969665,0.0006253404,0.002735771],"category_scores_gemma":[0.001039844,0.0003495047,0.0003627099,0.001497895,0.0003800963,0.000655797,0.0005906654,0.001023414,0.001515078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003096599,"about_ca_system_score_gemma":0.000191149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006214379,"about_ca_topic_score_gemma":0.001143445,"domain_scores_codex":[0.9992365,0.0001243425,0.00003030301,0.0002763245,0.0002517356,0.00008096855],"domain_scores_gemma":[0.9995629,0.00009168497,0.00009881435,0.0001049581,0.0001141115,0.00002749083],"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":[0.0002656239,0.0000764033,0.002281226,0.000103051,0.00007643115,0.00009122868,0.0001325288,0.0003355762,0.9622704,0.001400246,0.0007079344,0.03225929],"study_design_scores_gemma":[0.00003034424,0.000180106,0.004521375,0.00002287113,0.00006707209,0.0002711789,0.00008573139,0.005179258,0.9797951,0.0008816729,0.008912074,0.00005321477],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6561301,0.006938637,0.2883669,0.0004073312,0.0005256434,0.0002307086,0.003196236,0.002885944,0.04131851],"genre_scores_gemma":[0.857738,0.004936866,0.1268522,0.0004232721,0.0001194142,0.000245736,0.001805611,0.000438249,0.007440704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002735771,"threshold_uncertainty_score":0.009152055,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02179327196269138,"score_gpt":0.2835954541282811,"score_spread":0.2618021821655898,"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."}}