{"id":"W4226251434","doi":"10.1093/jcag/gwac013","title":"Automated Detection of Bowel Preparation Scoring and Adequacy With Deep Convolutional Neural Networks","year":2022,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital","funders":"","keywords":"Colonoscopy; Cathartic; Convolutional neural network; Artificial intelligence; Computer science; Bowel preparation; Colorectal cancer; Medicine; Internal medicine; Cancer","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":[0.0006256206,0.0008877068,0.0003937803,0.0009804462,0.0001490426,0.0005281098,0.0006027984,0.0005603135,0.001025755],"category_scores_gemma":[0.001728286,0.0003106037,0.0005200045,0.0003440295,0.0001725449,0.0003782723,0.0005935772,0.0005861321,0.0003962291],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007079823,"about_ca_system_score_gemma":0.0006975909,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01385066,"about_ca_topic_score_gemma":0.02021658,"domain_scores_codex":[0.999703,0.00004291786,0.00002480661,0.0001036786,0.00006489865,0.00006068259],"domain_scores_gemma":[0.999424,0.0001782165,0.0001014394,0.00005365558,0.0001979986,0.00004474954],"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":[0.0007701411,0.0003643373,0.06101871,0.0002962697,0.0002611642,0.0004810266,0.0001181768,0.1940073,0.0473052,0.0006329751,0.008213083,0.6865317],"study_design_scores_gemma":[0.00001354565,0.00008091257,0.01145569,0.0000337968,0.00003842813,0.0001013551,0.0000228146,0.9722093,0.01481552,0.0004170903,0.0007933589,0.00001827277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6229641,0.002188535,0.3600729,0.000439449,0.0002106143,0.0002509514,0.002827942,0.007041988,0.004003488],"genre_scores_gemma":[0.9192097,0.0003601851,0.07545877,0.0001446253,0.00003242207,0.00008827415,0.002102532,0.0000754391,0.002528094],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01385066,"threshold_uncertainty_score":0.02754009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006555301719934146,"score_gpt":0.2220978519901377,"score_spread":0.2155425502702035,"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."}}