{"id":"W2592738144","doi":"10.1117/12.2250412","title":"Multimodal imaging of vocal fold scarring in a rabbit model by multiphoton microscopy","year":2017,"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":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Fonds de Recherche du Québec - Santé; Natural Sciences and Engineering Research Council of Canada","keywords":"Fold (higher-order function); Microscopy; Rabbit (cipher); Multiphoton fluorescence microscope; Vocal folds; Biomedical engineering; Pathology; Computer science; Optics; Medicine; Anatomy; Physics; Fluorescence microscope; Larynx","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":[0.001037861,0.0006356461,0.0003831709,0.0006961633,0.0002580878,0.0003990057,0.0004856382,0.001151865,0.0009778626],"category_scores_gemma":[0.0003212448,0.0004322858,0.0006034931,0.0002260086,0.0005592188,0.0006185967,0.0004116336,0.0007698485,0.0003486782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000396626,"about_ca_system_score_gemma":0.0002396069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008823313,"about_ca_topic_score_gemma":0.001283021,"domain_scores_codex":[0.999585,0.00008055516,0.00003719546,0.0001181232,0.0001024098,0.00007678787],"domain_scores_gemma":[0.9996432,0.00008648558,0.0001019812,0.00007626977,0.00003659614,0.00005549522],"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":[0.0001131891,0.00007964503,0.0001472094,0.00004160335,0.000006332194,0.000200243,0.00003913043,0.0001219414,0.9981403,0.00009482864,0.0000304733,0.0009851718],"study_design_scores_gemma":[0.00005327941,0.003609297,0.006535054,0.00003196855,0.00009936994,0.002447227,0.0001123387,0.006184553,0.9788695,0.0001403234,0.001892158,0.00002494136],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748966,0.00370893,0.01792526,0.0002689232,0.00008861798,0.0001628828,0.0001629129,0.0001973784,0.002588366],"genre_scores_gemma":[0.9754648,0.002275479,0.01798804,0.0001444423,0.00003097536,0.0001570867,0.0001385166,0.00003668949,0.003764034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001151865,"threshold_uncertainty_score":0.005488813,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007350384416918223,"score_gpt":0.2624612132592447,"score_spread":0.2551108288423264,"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."}}