{"id":"W4410017402","doi":"10.1016/j.cmpb.2025.108818","title":"Tracking of respiratory mechanics at multiple oscillation frequencies","year":2025,"lang":"en","type":"article","venue":"Computer Methods and Programs in Biomedicine","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; University Health Network","funders":"","keywords":"Respiratory physiology; Oscillation (cell signaling); Computer science; Tracking (education); Mechanics; Respiratory system; Acoustics; Physics; Statistical physics; Medicine; Internal medicine; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001287666,0.0001169571,0.0003789028,0.0005035611,0.00004479644,0.00000820917,0.00005780156,0.0001091971,0.000002393559],"category_scores_gemma":[0.00008934228,0.00009230941,0.00007786599,0.0008829789,0.0001445736,0.00004693622,0.00006358272,0.0001168483,1.223851e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003450908,"about_ca_system_score_gemma":0.00003353954,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002677813,"about_ca_topic_score_gemma":0.000004739158,"domain_scores_codex":[0.9989625,0.000157482,0.0003947046,0.0002306055,0.000122811,0.0001318968],"domain_scores_gemma":[0.9993491,0.0002047971,0.00009653057,0.0001815348,0.0001163117,0.0000517744],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000653992,0.00006862268,0.06550261,0.0003136353,0.0000531563,0.000005738045,0.0004467547,0.000001141539,0.06366107,0.0006775722,0.0001162412,0.8690881],"study_design_scores_gemma":[0.01082461,0.004419955,0.5026979,0.005996635,0.0003617097,0.00006696489,0.0008170188,0.02536601,0.2883115,0.02919991,0.1312294,0.0007083698],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1966235,0.005324135,0.7963645,0.000327846,0.00028357,0.0006291356,0.000002451078,0.0001175961,0.000327159],"genre_scores_gemma":[0.5795582,0.0001764306,0.4198072,0.0003471586,0.00005527219,0.0000229636,0.00001516269,0.000005915329,0.00001175788],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8683797,"threshold_uncertainty_score":0.3764268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07782173751394557,"score_gpt":0.3868821211694838,"score_spread":0.3090603836555382,"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."}}