{"id":"W4405792734","doi":"","title":"A SYSTEM FOR REMOTE MONITORING OF THE HUMAN BODY PARAMETERS","year":2015,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Active Aging Canada","funders":"","keywords":"Computer science; Remote sensing; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005708712,0.0005981008,0.0004634629,0.000893638,0.000342549,0.0008363193,0.0009547171,0.00144352,0.01197319],"category_scores_gemma":[0.001128325,0.0001996861,0.0003829129,0.0004910298,0.0003383097,0.0009561344,0.0008867511,0.0007972035,0.006490277],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001883984,"about_ca_system_score_gemma":0.0002600872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002620521,"about_ca_topic_score_gemma":0.0001887791,"domain_scores_codex":[0.9991156,0.0001190575,0.00004766683,0.0002225469,0.0004366013,0.00005842781],"domain_scores_gemma":[0.9995401,0.0001264052,0.00006078947,0.00007957529,0.0001400176,0.00005319027],"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":[0.0006095492,0.0002374307,0.0021268,0.0008076852,0.00007944799,0.0007696901,0.000262093,0.0006746819,0.4166515,0.006403205,0.03960753,0.5317705],"study_design_scores_gemma":[0.0003448025,0.003405417,0.01846746,0.0003634648,0.0004685006,0.0117603,0.0001274825,0.03426368,0.4261792,0.004125473,0.5002133,0.0002810119],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04874148,0.008366077,0.8601608,0.002057746,0.00333069,0.0009421891,0.001750972,0.01997211,0.05467795],"genre_scores_gemma":[0.553445,0.005844953,0.3124621,0.003269911,0.002272487,0.00126724,0.002468448,0.0007035444,0.1182663],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01197319,"threshold_uncertainty_score":0.04005426,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2736988318506515,"score_gpt":0.5000599620907461,"score_spread":0.2263611302400946,"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."}}