{"id":"W4283771305","doi":"10.12688/f1000research.122597.1","title":"Performance evaluation of the smartphone-based AI cough monitoring app - Hyfe Cough Tracker against solicited respiratory sounds","year":2022,"lang":"en","type":"preprint","venue":"F1000Research","topic":"Respiratory and Cough-Related Research","field":"Medicine","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Generalitat de Catalunya; Ministerio de Ciencia e Innovación; Centres de Recerca de Catalunya","keywords":"Open peer review; Smartphone app; Medicine; Plant biology; Respiratory system; Audiology; Anesthesia; Computer science; Internal medicine; Biology; World Wide Web","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":[0.00211414,0.0008108122,0.0009467996,0.0006597143,0.0002750074,0.0009635294,0.0008894505,0.001030512,0.00253479],"category_scores_gemma":[0.008216312,0.0001948661,0.0004153613,0.0001972792,0.0002711301,0.0006398963,0.0009635763,0.0003227213,0.001664428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002516161,"about_ca_system_score_gemma":0.0003979209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001516258,"about_ca_topic_score_gemma":0.00209927,"domain_scores_codex":[0.9979039,0.0005684721,0.0002624176,0.0004677725,0.000635643,0.0001617865],"domain_scores_gemma":[0.996291,0.00184597,0.0002676689,0.0002267148,0.001129159,0.0002394607],"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":[0.0234862,0.002224952,0.1063142,0.0068591,0.001097381,0.00162029,0.001882836,0.007957887,0.2840696,0.0006267134,0.02042905,0.5434318],"study_design_scores_gemma":[0.001397112,0.02872305,0.4796895,0.001033924,0.001307963,0.007142142,0.001734173,0.301405,0.1560076,0.0007838358,0.02026043,0.0005152919],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9721947,0.002273286,0.0155629,0.0003616201,0.0004018478,0.0006811838,0.001375461,0.003413588,0.003735486],"genre_scores_gemma":[0.9730861,0.000611236,0.02059031,0.0004044445,0.0001230489,0.000468231,0.001627417,0.000115042,0.002974159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00253479,"threshold_uncertainty_score":0.01118082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1394866740542957,"score_gpt":0.4133872663415838,"score_spread":0.2739005922872881,"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."}}