{"id":"W2019899378","doi":"10.1117/12.842078","title":"High-resolution imaging of a corneal incision by second- and third-harmonic generation microscopy","year":2010,"lang":"en","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Fluorescence Microscopy Techniques","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université de Montréal; Hôpital Maisonneuve-Rosemont","funders":"","keywords":"Cornea; Microscopy; Ex vivo; Optics; Second-harmonic generation; Materials science; Resolution (logic); Image resolution; Biomedical engineering; In vivo; Physics; Medicine; Computer science; Biology; Artificial intelligence","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":[0.0003721727,0.0002160515,0.0002385628,0.00005096385,0.00006549722,0.00004726066,0.0004256276,0.000196971,0.000004845456],"category_scores_gemma":[0.0002591298,0.0001952521,0.000199713,0.000105103,0.0003013084,0.00006839651,0.0001807162,0.0002464027,1.94865e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003799099,"about_ca_system_score_gemma":0.00002774838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001153521,"about_ca_topic_score_gemma":6.680142e-7,"domain_scores_codex":[0.9986951,1.963163e-8,0.0004584096,0.0003521526,0.0002577958,0.0002365235],"domain_scores_gemma":[0.9986344,0.0000226644,0.0003291926,0.00006167567,0.000884464,0.00006762188],"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":[0.00008170901,0.00005761802,0.0005876385,0.0001328407,0.0000701457,2.015138e-8,0.00004037989,0.000005667717,0.9725093,0.02097879,0.005278469,0.0002574468],"study_design_scores_gemma":[0.0004950339,0.0002111966,0.0004035803,0.00006232398,0.00003507983,0.00001127923,0.00009972826,0.004743279,0.9919821,0.0002751364,0.001504103,0.0001771386],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978955,0.0002391045,0.0008069271,0.0003515523,0.0001560562,0.0003446546,0.00008977221,0.0000294514,0.00008692215],"genre_scores_gemma":[0.7479816,0.0001527929,0.251417,0.00006277981,0.0002083686,0.00005045478,0.00003868198,0.00003559919,0.00005275422],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.25061,"threshold_uncertainty_score":0.7962151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00567110196233515,"score_gpt":0.2381637558337082,"score_spread":0.232492653871373,"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."}}