{"id":"W2136133983","doi":"10.1109/nebc.2003.1216025","title":"Identification of single-breaths and respiration patterns by ribcage and abdomen signals","year":2003,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Respiration; Frequency domain; Computer science; Breathing; Coherence (philosophical gambling strategy); Identification (biology); Pattern recognition (psychology); Speech recognition; Algorithm; Mathematics; Artificial intelligence; Statistics; Medicine; Computer vision; Anesthesia; Anatomy; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001407678,0.00007959593,0.00008995855,0.0000526971,0.00002424337,0.00003827745,0.00002723511,0.00004099678,0.0000193846],"category_scores_gemma":[0.0000316986,0.00008173165,0.00001022671,0.00006650922,0.00001705319,0.00018453,0.000008397908,0.00003339464,0.000002624698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002299935,"about_ca_system_score_gemma":0.000002084176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001452938,"about_ca_topic_score_gemma":0.000003906812,"domain_scores_codex":[0.9994945,0.00002081635,0.0001907064,0.0001146557,0.00008381974,0.0000954861],"domain_scores_gemma":[0.9997572,0.00005096742,0.00003164186,0.00009568958,0.00002455777,0.00003991643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001168531,0.000009199706,0.01273679,0.00005076602,0.000009330867,5.052426e-7,0.00009222764,0.00004189308,0.9852632,0.0001428082,0.00006725677,0.001584888],"study_design_scores_gemma":[0.0001632645,0.00003303057,0.002760915,0.00001828086,0.000007681615,0.000002356646,0.00006808987,0.0001067086,0.9963479,0.0002330198,0.0001664292,0.00009230935],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9556035,0.0003490767,0.04256227,0.000006714385,0.00006622331,0.000110945,0.00001048692,0.00005515947,0.001235604],"genre_scores_gemma":[0.9995827,0.00004741652,0.0002265621,0.000005644265,0.00001830297,0.000008247938,0.000003068021,0.00001500167,0.00009307307],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04397916,"threshold_uncertainty_score":0.333292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224093348511938,"score_gpt":0.2123507844485902,"score_spread":0.2001098509634709,"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."}}