{"id":"W4385387817","doi":"10.18280/ria.370326","title":"Deep Learning Architectures for Abnormality Detection in Endoscopy Videos","year":2023,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Abnormality; Computer science; Deep learning; Endoscopy; Artificial intelligence; Medicine; Radiology","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":[0.000789966,0.00101672,0.0004493544,0.0008875605,0.000209076,0.0006195852,0.0009556313,0.0007580886,0.001259925],"category_scores_gemma":[0.00229418,0.0003951359,0.0005365172,0.0006117661,0.000300825,0.0009326129,0.000736656,0.001188139,0.0005729666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001003494,"about_ca_system_score_gemma":0.0009368936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01206971,"about_ca_topic_score_gemma":0.01238149,"domain_scores_codex":[0.9996269,0.00007297122,0.00002390601,0.00009221674,0.0001218656,0.00006206988],"domain_scores_gemma":[0.9995078,0.00016696,0.00006817031,0.00005873135,0.0001741261,0.00002430342],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002624036,0.0001852549,0.003093561,0.0001550671,0.0001201537,0.0001625816,0.00007281307,0.4860775,0.02580831,0.003789074,0.005864468,0.4744089],"study_design_scores_gemma":[0.000004038316,0.00003832424,0.000501606,0.0000115472,0.00001147688,0.00001804844,0.000006716321,0.9926409,0.00486212,0.001172125,0.0007266662,0.000006320361],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1500608,0.003569841,0.8329852,0.0007471328,0.0001597096,0.000127808,0.0006610246,0.007873914,0.003814564],"genre_scores_gemma":[0.7891563,0.001693101,0.2006344,0.0002857563,0.00007795777,0.0001143932,0.001856327,0.0001711789,0.006010443],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01206971,"threshold_uncertainty_score":0.02399892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03945856089782693,"score_gpt":0.3134822662108663,"score_spread":0.2740237053130394,"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."}}