{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002022402,0.0001628858,0.0002114833,0.0002248768,0.0002254314,0.0001594486,0.002694622,0.0001014932,0.00000269305],"category_scores_gemma":[0.0008183434,0.0001043124,0.00006961835,0.0009039344,0.0002064149,0.0005612356,0.003071098,0.0002899399,0.00001970045],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002914775,"about_ca_system_score_gemma":0.00001937395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009468792,"about_ca_topic_score_gemma":4.697962e-7,"domain_scores_codex":[0.9988846,0.000004512563,0.0001938404,0.0003941592,0.0002266896,0.0002962192],"domain_scores_gemma":[0.9989491,0.0001257638,0.0002146716,0.0005267061,0.0001635511,0.00002023594],"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":[0.00008052145,0.0001869451,0.00371287,0.0003682443,0.000106127,0.000007389694,0.00246132,0.00006233712,0.2898295,0.04586709,0.04187523,0.6154424],"study_design_scores_gemma":[0.000171784,0.0002878247,0.001489385,0.0004789186,0.00000979159,0.00002802453,0.002983019,0.001044242,0.8727996,0.112913,0.007572247,0.0002221597],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833474,0.0002856578,0.00008048119,0.007209414,0.0002841416,0.0002808881,0.000002024026,0.001266986,0.007243044],"genre_scores_gemma":[0.9971079,0.0002313353,0.001406443,0.0001799488,0.00002411818,0.0001288726,1.195523e-7,0.00001121757,0.000910083],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6152202,"threshold_uncertainty_score":0.5007323,"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."}}