{"id":"W4386363469","doi":"10.1007/978-3-031-36938-4_19","title":"A Transformer-Based Deep Learning Algorithm to Auto-Record Undocumented Clinical One-Lung Ventilation Events","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in computational intelligence","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Mila - Quebec Artificial Intelligence Institute","funders":"","keywords":"Missing data; Computer science; Deep learning; Artificial intelligence; Workload; Machine learning","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":[0.0004872543,0.0004981699,0.0004012117,0.0004574264,0.0002263323,0.0005424391,0.001037184,0.0005804321,0.004192722],"category_scores_gemma":[0.0009120269,0.0002672651,0.0004411574,0.0005358454,0.000273044,0.0006692698,0.0008986822,0.001081707,0.001337977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003689655,"about_ca_system_score_gemma":0.0007104608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003643732,"about_ca_topic_score_gemma":0.00712189,"domain_scores_codex":[0.9998803,0.00001468995,0.000007935796,0.00004101848,0.0000381085,0.00001787962],"domain_scores_gemma":[0.9997265,0.0001219377,0.00001607482,0.00003653303,0.00008000762,0.00001898286],"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":[0.0001772684,0.0001074676,0.0008544518,0.00005426258,0.00005381752,0.00007832613,0.00003371394,0.04098605,0.01971266,0.00500785,0.007098136,0.9258361],"study_design_scores_gemma":[0.0000130568,0.00006809511,0.0004543699,0.00001429661,0.00002540653,0.0001912133,0.00001139179,0.9787478,0.01345945,0.00429529,0.002709192,0.00001046525],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01265473,0.0003403445,0.9826788,0.0001210303,0.0001124581,0.00004090971,0.0002374645,0.00179537,0.002018945],"genre_scores_gemma":[0.3576739,0.0005931647,0.6270314,0.0003772465,0.0000976494,0.0001130885,0.001132637,0.0002886728,0.01269223],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004192722,"threshold_uncertainty_score":0.01402599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1398357570685375,"score_gpt":0.4415092044855633,"score_spread":0.3016734474170258,"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."}}