{"id":"W4386087446","doi":"10.1016/j.bpj.2023.08.015","title":"Polarimetric second harmonic generation microscopy of partially oriented fibers II: Imaging study","year":2023,"lang":"en","type":"letter","venue":"Biophysical Journal","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; Toronto Rehabilitation Institute; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; European Regional Development Fund; Lietuvos Mokslo Taryba","keywords":"Microscopy; Polarized light microscopy; Second-harmonic generation; Polarization (electrochemistry); Materials science; Optical microscope; Fibril; Optics; Microscope; Molecular physics; Chemistry; Scanning electron microscope; Composite material; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001916718,0.0003965774,0.0004465184,0.0002681729,0.0002451554,0.00007592878,0.0004781253,0.0003939105,0.00003109016],"category_scores_gemma":[0.00008477025,0.0003759944,0.0002981358,0.0003915691,0.000169715,0.00001434926,0.0003029702,0.001285724,0.0000132711],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008349423,"about_ca_system_score_gemma":0.000215621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002172577,"about_ca_topic_score_gemma":0.000006510946,"domain_scores_codex":[0.9977428,0.0001688808,0.0006124686,0.0005839116,0.0003953994,0.0004965731],"domain_scores_gemma":[0.9985763,0.00001766434,0.0005361877,0.0004883489,0.0002903073,0.00009114841],"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":[0.00002818672,0.0001214072,0.0003518764,0.00001703682,0.00009777859,0.00008135266,0.00002634423,0.000001364156,0.7050585,4.471978e-7,0.2939743,0.0002413781],"study_design_scores_gemma":[0.000411975,0.0008808059,0.00024261,0.00004116795,0.00008690973,0.0000433434,0.0000247039,0.00003029839,0.9181119,0.00001150304,0.07976311,0.0003516404],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9535424,0.0004837107,0.02626612,0.01596199,0.002103145,0.001106206,0.0003814553,0.0001196536,0.00003532292],"genre_scores_gemma":[0.728499,0.0008924468,0.05900309,0.1410869,0.0560648,0.0001885438,0.004780222,0.001216279,0.008268744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2250434,"threshold_uncertainty_score":0.9998692,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01487574751648822,"score_gpt":0.2976943760089417,"score_spread":0.2828186284924535,"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."}}