{"id":"W4297006047","doi":"10.3390/su141911934","title":"HealthGuard: An Intelligent Healthcare System Security Framework Based on Machine Learning","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"User Authentication and Security Systems","field":"Computer Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"King Saud University; Future University in Egypt","keywords":"Computer science; Wearable computer; Computer security; Internet of Things; Wearable technology; Decision tree; Health care; Architecture; Artificial intelligence; Machine learning; Human–computer interaction; Embedded system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003188381,0.0002200011,0.0003200263,0.0002041227,0.001170185,0.0001622986,0.001194462,0.00008559458,0.00005782403],"category_scores_gemma":[0.0004740665,0.0002272919,0.0001312754,0.0008323116,0.00005156968,0.0001958668,0.0004107733,0.001091098,0.0000144749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003159106,"about_ca_system_score_gemma":0.0008827625,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001404794,"about_ca_topic_score_gemma":0.00006858078,"domain_scores_codex":[0.9947774,0.002424319,0.0005327787,0.0008634664,0.000839598,0.0005624527],"domain_scores_gemma":[0.9970371,0.000285202,0.0002077327,0.00163634,0.0004792234,0.0003544565],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001523519,0.001222494,0.04565814,0.002231801,0.00001569565,0.00006412752,0.1096196,0.004971437,0.000001154008,0.8259245,0.00009643342,0.01004221],"study_design_scores_gemma":[0.0002254032,0.0009422167,0.002137955,0.00002747596,0.000003807512,0.00001135155,0.007853618,0.9372032,0.00001772652,0.03240926,0.01888376,0.0002841663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4971482,0.0008169577,0.42116,0.06818365,0.003337733,0.005048448,0.00009734683,0.003646412,0.000561357],"genre_scores_gemma":[0.9980696,0.000001225354,0.0004021885,0.001122198,0.00005923015,0.0002241974,0.00003084716,0.00001788033,0.00007267606],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9322318,"threshold_uncertainty_score":0.9268696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351756489993267,"score_gpt":0.2890848215458945,"score_spread":0.2755672566459618,"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."}}