{"id":"W3187265152","doi":"10.1364/boda.2021.jw1a.7","title":"Second-Harmonic Generation Microscopy with Texture Analysis for Colon Cancer Diagnostics","year":2021,"lang":"en","type":"article","venue":"Biophotonics Congress 2021","topic":"Molecular Biology Techniques and Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Microscopy; Texture (cosmology); Second-harmonic generation; Colorectal cancer; Materials science; Carcinogenesis; Image texture; Cancer; Pathology; Biomedical engineering; Optics; Artificial intelligence; Medicine; Image processing; Computer science; Image (mathematics); Physics; Internal medicine; Laser","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008405994,0.000443561,0.0003900201,0.00172071,0.0003847595,0.0005017294,0.000523357,0.0008704736,0.003555792],"category_scores_gemma":[0.000572825,0.0004806171,0.0003898305,0.001051618,0.0005094762,0.0005191579,0.0005730658,0.0008582028,0.0007489721],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007316756,"about_ca_system_score_gemma":0.0005648704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001870539,"about_ca_topic_score_gemma":0.004621799,"domain_scores_codex":[0.9992881,0.0001278183,0.00001494223,0.00007529179,0.0004093739,0.00008443595],"domain_scores_gemma":[0.9996557,0.0001271419,0.00003133484,0.00005766299,0.00009385155,0.00003425813],"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":[0.0001455929,0.00003461015,0.0008299018,0.0001184542,0.00001720886,0.00006879796,0.00003568228,0.0004753676,0.9696704,0.0009947416,0.0007044534,0.02690472],"study_design_scores_gemma":[0.0001111202,0.0005856128,0.02609451,0.00005067522,0.00007003765,0.00258853,0.000105504,0.07098227,0.8755327,0.001975028,0.021785,0.0001188639],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4075148,0.01175443,0.5568926,0.001816573,0.0005338045,0.0004452303,0.0008371447,0.002157756,0.01804755],"genre_scores_gemma":[0.4875896,0.004370619,0.4939326,0.0004742971,0.0001750237,0.0003679595,0.0004530041,0.000240791,0.01239599],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003555792,"threshold_uncertainty_score":0.01189536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01286569134127801,"score_gpt":0.2944958807367775,"score_spread":0.2816301893954994,"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."}}