{"id":"W2943952292","doi":"10.3390/s19092164","title":"Smartphone Sensors for Health Monitoring and Diagnosis","year":2019,"lang":"en","type":"review","venue":"Sensors","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":440,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Health care; Life expectancy; Business; Population; Continuous monitoring; Risk analysis (engineering); Internet privacy; Medicine; Computer science; Environmental health; Economic growth","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008511256,0.001142241,0.001121017,0.002746556,0.000271173,0.001077787,0.001029097,0.001799313,0.008855269],"category_scores_gemma":[0.001584132,0.000312541,0.0009080267,0.002005448,0.0004530041,0.001405349,0.001044383,0.00130232,0.004919566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004705707,"about_ca_system_score_gemma":0.0008587517,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001249371,"about_ca_topic_score_gemma":0.001473155,"domain_scores_codex":[0.9992266,0.0001616161,0.00009068935,0.0001431831,0.0003302887,0.00004771425],"domain_scores_gemma":[0.999252,0.0003885766,0.00008201025,0.00002944484,0.0002212732,0.00002666259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006608821,0.00005788234,0.0003917885,0.0205754,0.0001106456,0.0002051669,0.00009197165,0.0004007755,0.004787494,0.004702298,0.03392197,0.9346885],"study_design_scores_gemma":[0.00001376605,0.00015116,0.00129469,0.005388967,0.0001359214,0.001314115,0.00009545788,0.0003951353,0.002301386,0.002417951,0.986456,0.00003545157],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000403862,0.9905705,0.001647813,0.0005672238,0.0006532386,0.00003912724,0.0001773775,0.00006248039,0.005878371],"genre_scores_gemma":[0.006101809,0.9853962,0.002227088,0.0005724379,0.000597292,0.0000476886,0.0002731555,0.000007950881,0.004776288],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008855269,"threshold_uncertainty_score":0.02962387,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.188111324571153,"score_gpt":0.5254837506810075,"score_spread":0.3373724261098545,"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."}}