{"id":"W4361212721","doi":"10.3389/fdgth.2023.1166088","title":"Editorial: Continued opportunities in wearable technologies and physiological assessment","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Digital Health","topic":"Physical Activity and Health","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wearable computer; Front (military); Wearable technology; Volume (thermodynamics); Medicine; Aeronautics; Engineering; Mechanical engineering; Physics; Embedded system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01092035,0.003429532,0.003257488,0.004123473,0.004048889,0.01318657,0.00365743,0.01221547,0.02451494],"category_scores_gemma":[0.05788906,0.001108144,0.003070666,0.001377285,0.003699562,0.007403389,0.002031929,0.01864582,0.01884109],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003118654,"about_ca_system_score_gemma":0.004149432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009350539,"about_ca_topic_score_gemma":0.001718747,"domain_scores_codex":[0.9885989,0.001934447,0.00136198,0.001506487,0.005885371,0.0007127716],"domain_scores_gemma":[0.9366527,0.02377275,0.003181971,0.001808002,0.02844248,0.00614212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003374306,0.00001125881,0.00003157861,0.0002464048,0.0000128817,0.0000933613,0.00004148564,0.00001949051,0.00006041775,0.0004685383,0.9936725,0.005308306],"study_design_scores_gemma":[0.00003424933,0.00004470117,0.0002090808,0.0008595736,0.00003327918,0.0003552079,0.0001208157,0.0001040727,0.0001242052,0.001240567,0.9968501,0.00002428151],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00002358328,0.001495213,0.00008416519,0.0184378,0.9793353,0.000008292186,0.00002147071,0.00004042632,0.0005537414],"genre_scores_gemma":[0.0002749634,0.001664264,0.00009099763,0.01212586,0.9824386,0.00001303099,0.00001949749,0.00005036007,0.003322487],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.02451494,"threshold_uncertainty_score":0.08201063,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05746692246191881,"score_gpt":0.3534194142515985,"score_spread":0.2959524917896797,"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."}}