{"id":"W1521651016","doi":"10.1109/iembs.2003.1280404","title":"Variance fractal dimension trajectory as a tool for hear sound localization in lung sounds recordings","year":2004,"lang":"en","type":"article","venue":"","topic":"Phonocardiography and Auscultation Techniques","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg; University of Manitoba","funders":"University of Manitoba","keywords":"Fractal dimension; Airflow; Sound (geography); Bioacoustics; Acoustics; Dimension (graph theory); Flow (mathematics); Trajectory; Speech recognition; Heart sounds; Fractal; Lung; Airway; Mathematics; Computer science; Medicine; Cardiology; Engineering; Physics; Anesthesia; Internal medicine; Mathematical analysis","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":[0.001260543,0.0003616066,0.0002752258,0.002088366,0.0001924635,0.0004478039,0.0001914793,0.0003785515,0.0009826565],"category_scores_gemma":[0.004820357,0.0001365308,0.0002277725,0.00091886,0.0003454514,0.0004746282,0.0002913228,0.0002831522,0.0002870927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676329,"about_ca_system_score_gemma":0.0002325872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000592101,"about_ca_topic_score_gemma":0.0005500595,"domain_scores_codex":[0.999593,0.0001782375,0.00003138745,0.00006346858,0.0001120923,0.00002186584],"domain_scores_gemma":[0.9975775,0.001752891,0.0002231953,0.0001594449,0.0002226194,0.00006438417],"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":[0.001257231,0.0001475912,0.06795416,0.0002770676,0.0001074209,0.0004522032,0.0007495394,0.02205596,0.2775577,0.004265576,0.001154867,0.6240206],"study_design_scores_gemma":[0.0001117781,0.001584043,0.3084254,0.00008355489,0.0001424027,0.004225395,0.0004636822,0.5469119,0.126085,0.004680894,0.007060017,0.000225852],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.366676,0.0004574859,0.6300269,0.0001066107,0.00003850806,0.000102017,0.000355489,0.0009782426,0.001258707],"genre_scores_gemma":[0.7165927,0.0001877991,0.2822331,0.00001431656,0.00002766895,0.00009512649,0.0002445497,0.00007769953,0.000526974],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002088366,"threshold_uncertainty_score":0.006666481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01130033503377197,"score_gpt":0.2841168663702028,"score_spread":0.2728165313364309,"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."}}