{"id":"W4414062853","doi":"10.3390/bios15090589","title":"POC Sensor Systems and Artificial Intelligence—Where We Are Now and Where We Are Going?","year":2025,"lang":"en","type":"review","venue":"Biosensors","topic":"Non-Invasive Vital Sign Monitoring","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"The Metabolomics Innovation Centre; University of Alberta","funders":"Genome Alberta; Multiple Sclerosis International Federation; Canada Research Chairs; Canada Foundation for Innovation; Genome Canada","keywords":"Workflow; Wearable computer; Health care; Analytics; Wearable technology; Transformative learning; Process (computing); Decision support system; Applications of artificial intelligence","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":[0.00174084,0.001030231,0.001484186,0.00216994,0.0004291577,0.002494771,0.001155384,0.002448519,0.003005534],"category_scores_gemma":[0.00265168,0.0004424719,0.0008110135,0.002776307,0.001297283,0.0041257,0.001035569,0.003339252,0.001511588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001103125,"about_ca_system_score_gemma":0.00271668,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001899251,"about_ca_topic_score_gemma":0.001980358,"domain_scores_codex":[0.9991525,0.0002408461,0.00009981618,0.0001129259,0.000324473,0.00006937526],"domain_scores_gemma":[0.998004,0.001282265,0.0001331142,0.00006396264,0.0004429627,0.00007368243],"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":[0.00005172674,0.00006430711,0.0002523723,0.02263175,0.0001232182,0.0001336019,0.0001840255,0.0004581763,0.0008760939,0.0283777,0.02855299,0.9182941],"study_design_scores_gemma":[0.00001158304,0.0001040286,0.0007085218,0.01140078,0.00009483963,0.0007211644,0.0001842295,0.0002494051,0.0004509653,0.0131767,0.9728621,0.00003561652],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00008685191,0.996586,0.0004017865,0.001266482,0.0004194092,0.000005218973,0.0000107526,0.000008224366,0.001215298],"genre_scores_gemma":[0.0008736318,0.9971845,0.0004333075,0.0007524533,0.0003165363,0.00000896636,0.00001653254,0.000002652466,0.0004114656],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003005534,"threshold_uncertainty_score":0.01005453,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0414498008748796,"score_gpt":0.2798052519366845,"score_spread":0.2383554510618049,"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."}}