{"id":"W4298009660","doi":"10.18280/ts.390422","title":"Classification of OME with Eardrum Otoendoscopic Images Using Hybrid-Based Deep Models, NCA, and Gaussian Method","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Ear Surgery and Otitis Media","field":"Medicine","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Eardrum; Artificial intelligence; Support vector machine; Computer science; Pattern recognition (psychology); Classifier (UML); Feature (linguistics); Gaussian process; Machine learning; Gaussian; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003924862,0.0006544411,0.0004570516,0.001096806,0.0001398443,0.0005217153,0.0004346823,0.000656574,0.0004317508],"category_scores_gemma":[0.000811511,0.0001501923,0.0007478637,0.0005082408,0.0001938247,0.0004334515,0.0005002803,0.0003810357,0.0001523368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000366977,"about_ca_system_score_gemma":0.0003358059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00588831,"about_ca_topic_score_gemma":0.006288582,"domain_scores_codex":[0.9998174,0.00002507486,0.00001529545,0.00004785984,0.00004358798,0.00005081916],"domain_scores_gemma":[0.9998228,0.00004794558,0.00002377184,0.00002077389,0.00006493145,0.00001979616],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001229336,0.0005669713,0.05393377,0.0002592026,0.0003162471,0.001339113,0.0001909502,0.2281409,0.06913283,0.001263496,0.005690588,0.6379365],"study_design_scores_gemma":[0.00000903144,0.00007567112,0.006954255,0.00001177552,0.00003057157,0.0001356333,0.00004615086,0.9867768,0.00519989,0.0003739225,0.0003774294,0.000008975911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8283231,0.001690059,0.1663214,0.0003500171,0.0001617113,0.00009975069,0.0006968344,0.0007805984,0.001576405],"genre_scores_gemma":[0.9704066,0.0003163034,0.02733483,0.00007399725,0.00004682668,0.00003156938,0.0007747191,0.00001612248,0.0009989843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00588831,"threshold_uncertainty_score":0.01170808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03444757453126764,"score_gpt":0.275871300621737,"score_spread":0.2414237260904694,"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."}}