{"id":"W4407127804","doi":"10.1109/jflex.2025.3538808","title":"Flexible Sensors for IoT-Based Health Monitoring","year":2025,"lang":"en","type":"article","venue":"IEEE Journal on Flexible Electronics","topic":"Air Quality Monitoring and Forecasting","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Internet of Things; Computer science; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001467979,0.0002591112,0.0003228709,0.0001687592,0.000945561,0.0001292911,0.0003497402,0.0001182354,0.00004218549],"category_scores_gemma":[0.00009619647,0.000246342,0.0002076084,0.0005107443,0.00006800417,0.0001137395,0.00003073433,0.0007708856,0.00007016274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001875552,"about_ca_system_score_gemma":0.0004088091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000307079,"about_ca_topic_score_gemma":0.000005046113,"domain_scores_codex":[0.9974833,0.0001246149,0.0005417202,0.0003640047,0.0004665537,0.001019804],"domain_scores_gemma":[0.9988778,0.0002678753,0.000297011,0.0002875145,0.00003524486,0.0002345594],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008586895,0.0006145663,0.0153569,0.0002120478,0.0001603697,0.0000136199,0.0003615107,0.6658119,0.01275131,0.002918904,0.03253196,0.2684082],"study_design_scores_gemma":[0.003961902,0.003945538,0.002809172,0.001183683,0.00008575314,0.00006175096,0.0002825167,0.02946199,0.4931237,0.01297432,0.4510044,0.001105282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8110218,0.0022228,0.1596607,0.01053464,0.007527465,0.001016324,0.00001776373,0.0006011791,0.00739731],"genre_scores_gemma":[0.9588895,0.0003444515,0.0205461,0.00191705,0.001900828,0.00005657105,0.000005475344,0.0001000721,0.01624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6363499,"threshold_uncertainty_score":0.9999989,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03603723602376685,"score_gpt":0.3328433027419849,"score_spread":0.296806066718218,"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."}}