{"id":"W3047693424","doi":"10.1109/newcas49341.2020.9159827","title":"Wearable Scanner Platform Based on Fiber Sensor Array for Real Time Breath Detection","year":2020,"lang":"en","type":"article","venue":"","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Scanner; Wearable computer; Bluetooth; SIGNAL (programming language); Computer science; Wireless sensor network; Acoustics; Computer hardware; Real-time computing; Wireless; Embedded system; Artificial intelligence; Telecommunications; Physics; Computer network","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":[0.00005583318,0.0001624064,0.0001442997,0.0000515079,0.00006327434,0.00003838334,0.00006973853,0.00008386366,0.0002957125],"category_scores_gemma":[0.00002961917,0.0001525591,0.00007790992,0.0001421756,0.000008740636,0.0001399097,0.000006870153,0.0001050406,0.0006799958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001128165,"about_ca_system_score_gemma":0.0000107865,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003192955,"about_ca_topic_score_gemma":0.000004261118,"domain_scores_codex":[0.999262,0.000005141901,0.0001347253,0.0001962105,0.000134428,0.0002675383],"domain_scores_gemma":[0.9995829,0.0001066242,0.000015579,0.0001330659,0.00003106679,0.000130751],"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":[0.00006731845,0.000008946482,0.00006865817,0.00006116766,0.00002133581,0.000002980062,0.00004472899,0.03854767,0.955864,0.000004302557,0.00109491,0.00421401],"study_design_scores_gemma":[0.000512208,0.0002019668,0.0000884517,0.00003031573,0.00001289239,0.0000014082,0.0000203143,0.06211693,0.9340076,0.00002430979,0.002761659,0.0002219547],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4269106,0.00003537027,0.2609156,0.0005000728,0.00118428,0.001806885,0.00008677882,0.004010372,0.30455],"genre_scores_gemma":[0.9869191,0.000003133271,0.01030976,0.0001055531,0.0006726627,0.00005404244,0.000008126713,0.00008483546,0.001842764],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5600085,"threshold_uncertainty_score":0.8740197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01441414388968302,"score_gpt":0.2052663546349176,"score_spread":0.1908522107452346,"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."}}