{"id":"W4404227729","doi":"10.14309/ajg.0000000000003195","title":"Optical Polyp Diagnosis in the Era of Artificial Intelligence","year":2024,"lang":"en","type":"review","venue":"The American Journal of Gastroenterology","topic":"Optical Imaging and Spectroscopy Techniques","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; 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":[0.001180094,0.0002515808,0.002227941,0.0002655789,0.00001973186,0.00002199908,0.0006158415,0.00005620749,0.00001942944],"category_scores_gemma":[0.0002027528,0.0001101865,0.0006620295,0.000415613,0.001260398,0.00002365943,0.00008452616,0.002183447,0.00001025529],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007320951,"about_ca_system_score_gemma":0.0001390633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002059162,"about_ca_topic_score_gemma":0.00000543932,"domain_scores_codex":[0.9974646,0.0005500218,0.001185009,0.0001673815,0.0002943608,0.0003386321],"domain_scores_gemma":[0.9982319,0.0005179768,0.0007329101,0.0003622892,0.00007606494,0.00007879749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0010222,0.0003692534,0.0003055139,0.0008780771,0.0003711819,0.0004380448,0.0002157412,5.714255e-7,0.000006073166,0.0008642919,0.000682728,0.9948463],"study_design_scores_gemma":[0.001061845,0.3045397,0.001798097,0.1490235,0.05287314,0.1181,0.006055363,0.0003330605,0.0004094645,0.01882344,0.3455355,0.001446839],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0103706,0.9729338,0.002860289,0.0130608,0.0002468289,0.0004087233,0.000010476,0.00001780237,0.00009064043],"genre_scores_gemma":[0.02012753,0.9752518,0.003448698,0.0007905446,0.0003221722,0.00002501681,0.000001504423,0.00002871614,0.000004019441],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9933995,"threshold_uncertainty_score":0.9486114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042375679847758,"score_gpt":0.3950164687159834,"score_spread":0.3545927119175058,"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."}}