{"id":"W4413684481","doi":"10.1002/hcs2.70034","title":"Noncontact Monitoring and AI‐Driven Stroke Prediction: National Center for Neurological Disorders‐Based Approach Using Smart Beds","year":2025,"lang":"en","type":"article","venue":"Health care science","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China","keywords":"Stroke (engine); Center (category theory); Physical medicine and rehabilitation; Medicine; Computer science; Artificial intelligence; Engineering; Aerospace engineering","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":[0.0008064325,0.0009573391,0.0009406731,0.001929001,0.000368953,0.0008766351,0.000913663,0.0006593519,0.001293634],"category_scores_gemma":[0.002352772,0.0002599209,0.0007188815,0.001361,0.0001722947,0.0006232662,0.0006946195,0.0006661634,0.0004589309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006920383,"about_ca_system_score_gemma":0.001103875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01829882,"about_ca_topic_score_gemma":0.01365856,"domain_scores_codex":[0.999552,0.00008323261,0.0000504051,0.0001714742,0.00007964516,0.00006329081],"domain_scores_gemma":[0.9992226,0.0002645204,0.0001218202,0.00006237976,0.0002435264,0.00008507476],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001180284,0.001320133,0.3987009,0.0002682554,0.00057596,0.001122956,0.000159802,0.2897172,0.004550884,0.001186533,0.009290804,0.2919264],"study_design_scores_gemma":[0.00001064125,0.00006801148,0.01378762,0.000009824369,0.00003864659,0.00005823036,0.00003490137,0.9849048,0.0004197715,0.0004001662,0.000256361,0.00001104706],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8215145,0.001322464,0.1656756,0.001307735,0.0002302571,0.0003720162,0.004253377,0.002010243,0.003313848],"genre_scores_gemma":[0.9799839,0.0002169113,0.01679096,0.0001111052,0.00006932193,0.000132324,0.001967141,0.00001156221,0.0007169683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01829882,"threshold_uncertainty_score":0.03638464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0297771781142845,"score_gpt":0.3652242507391562,"score_spread":0.3354470726248717,"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."}}