{"id":"W4321764733","doi":"10.1101/2023.02.23.529792","title":"Polarimetric response of second harmonic generation in microscopy of chiral fibrillar structures","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; European Regional Development Fund; Lietuvos Mokslo Taryba","keywords":"Second-harmonic generation; Microscopy; Optical microscope; Polarimetry; Materials science; Polarization (electrochemistry); Polarized light microscopy; Optics; Chemistry; Scanning electron microscope; Physics; Scattering","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":[0.0002345999,0.0002403083,0.0001043914,0.0003163805,0.0001250765,0.000226801,0.0001129502,0.000216657,0.001177829],"category_scores_gemma":[0.0004579347,0.0001370877,0.00008849182,0.0001595335,0.0003706694,0.0001921927,0.0002982594,0.0002849895,0.0001774973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001956454,"about_ca_system_score_gemma":0.0001156676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003832289,"about_ca_topic_score_gemma":0.0003275606,"domain_scores_codex":[0.9998589,0.00004046048,0.000003359675,0.00002218718,0.0000588367,0.00001622638],"domain_scores_gemma":[0.9996904,0.0001809905,0.00004775406,0.00001736603,0.00004656783,0.00001688516],"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":[0.00003623996,0.000003771946,0.0003901659,0.00002614454,0.000002541762,0.00002690432,0.00002148925,0.0004513826,0.9966083,0.0001173134,0.00003937016,0.00227657],"study_design_scores_gemma":[0.000006982378,0.0000544983,0.0046162,0.000004946934,0.000005950082,0.0001473945,0.00005899352,0.01142925,0.9830169,0.0002115312,0.0004397774,0.00000751431],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9603862,0.0004738537,0.03646438,0.000098691,0.00001921842,0.0000199361,0.0001050794,0.0001042433,0.002328463],"genre_scores_gemma":[0.9885175,0.0003048189,0.01034936,0.00003296329,0.00001105812,0.00001677602,0.00007244504,0.00001459805,0.0006804225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001177829,"threshold_uncertainty_score":0.003940165,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599548577897024,"score_gpt":0.2691288275294783,"score_spread":0.2531333417505081,"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."}}