{"id":"W4387087216","doi":"10.1145/3610889","title":"PulmoListener","year":2023,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Music and Audio Processing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sunnybrook Health Science Centre; Health Sciences Centre; University Health Network; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Samsung","keywords":"COPD; Medicine; Pulmonary disease; Physical therapy; Disease; Speech recognition; Audiology; Computer science; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007175239,0.001078192,0.0007135104,0.000826742,0.00035872,0.001474871,0.001006366,0.001309299,0.02866167],"category_scores_gemma":[0.002091834,0.0003731505,0.0006248329,0.0002410018,0.0002801223,0.001297959,0.001376247,0.0008297371,0.01945542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002989444,"about_ca_system_score_gemma":0.0005315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006047148,"about_ca_topic_score_gemma":0.001226717,"domain_scores_codex":[0.9993431,0.0000660875,0.00003243345,0.0002865628,0.0002112818,0.00006044269],"domain_scores_gemma":[0.9993678,0.0002382266,0.00005629205,0.0001386631,0.0001265002,0.00007243514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002917224,0.0004058266,0.01383466,0.0008099999,0.0002444613,0.001111374,0.0003333864,0.003227008,0.08633738,0.002985722,0.07356225,0.8142308],"study_design_scores_gemma":[0.0008409934,0.002814029,0.04921212,0.0004366122,0.000529959,0.0135033,0.0003702606,0.1249039,0.2499652,0.008474408,0.5485018,0.0004473423],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1695974,0.009507468,0.469016,0.002560638,0.001933259,0.001993301,0.01569362,0.2017798,0.1279185],"genre_scores_gemma":[0.6263666,0.003304075,0.2252592,0.00444383,0.0006690347,0.0009685513,0.0179062,0.004761165,0.1163213],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02866167,"threshold_uncertainty_score":0.09588283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01593509889898509,"score_gpt":0.2577310610883418,"score_spread":0.2417959621893567,"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."}}