{"id":"W4386148198","doi":"10.1109/pn58661.2023.10222970","title":"Individual Collagen Fibrils Investigated using Polarization-Resolved Second Harmonic Generation Microscopy","year":2023,"lang":"en","type":"article","venue":"","topic":"Collagen: Extraction and Characterization","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University; Saint Mary's University","funders":"Canada Foundation for Innovation","keywords":"Fibril; Collagen fibril; Polarization (electrochemistry); Second-harmonic generation; Microscopy; Polarization Microscopy; Materials science; Optical microscope; Atomic force microscopy; Polarized light microscopy; Biophysics; Crystallography; Optics; Chemistry; Scanning electron microscope; Nanotechnology; Composite material; Laser","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":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0003664455,0.0001676658,0.0001612239,0.0002254072,0.0004089263,0.0004929546,0.0001631093,0.0001364994,0.006196961],"category_scores_gemma":[0.00007925608,0.0001740945,0.0000419769,0.0009710474,0.00005652881,0.0005954147,0.00008131831,0.00004661052,0.0008921723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007973398,"about_ca_system_score_gemma":0.0002277452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006095049,"about_ca_topic_score_gemma":0.0001083245,"domain_scores_codex":[0.9985011,0.0001227093,0.0003873164,0.0003725694,0.0003039919,0.0003122788],"domain_scores_gemma":[0.9993045,0.00003441549,0.0001688075,0.0002245161,0.0001377543,0.0001299506],"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":[0.00000842733,0.00001486918,0.0006516824,0.0000134483,0.000008708493,0.000003287792,0.0003400224,0.0001535623,0.9943792,0.00007080084,0.00425294,0.0001030212],"study_design_scores_gemma":[0.0003260178,0.00002250719,0.007253374,0.00001070512,0.00002026225,0.00000855572,0.0001070671,0.01794234,0.9698063,0.00003557806,0.004252781,0.0002145576],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941239,0.00001849898,0.003540544,0.0002550532,0.0009232094,0.0003309724,0.0001340094,0.0004442124,0.0002295566],"genre_scores_gemma":[0.9898605,0.000008016371,0.002615033,0.0006919035,0.0002872035,0.00001637175,0.0009630042,0.00003431629,0.005523695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02457297,"threshold_uncertainty_score":0.9998857,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07347272851293346,"score_gpt":0.3004928590703438,"score_spread":0.2270201305574103,"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."}}