{"id":"W3122513307","doi":"10.1002/admt.202000938","title":"3D Origami Sensing Robots for Cooperative Healthcare Monitoring","year":2021,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Advanced Sensor and Energy Harvesting Materials","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Robot; Humanoid robot; Adaptability; Human–computer interaction; Computer science; Gait; Health care; Artificial intelligence; Simulation; Engineering; Physical medicine and rehabilitation; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00007970301,0.000301803,0.0004963817,0.00007800986,0.0001774183,0.0001028106,0.000146399,0.0002133066,0.000009499706],"category_scores_gemma":[0.0004432711,0.0003055446,0.00004099329,0.0002084502,0.00006829516,0.0002873518,0.00008775927,0.0001023128,0.00001038506],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001056172,"about_ca_system_score_gemma":0.00002447223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007923645,"about_ca_topic_score_gemma":0.00001139288,"domain_scores_codex":[0.9985718,0.00002623601,0.0004056381,0.0003780909,0.00009986426,0.00051844],"domain_scores_gemma":[0.9991518,0.0001132094,0.00007253722,0.0004232306,0.0002018823,0.00003732686],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00001752797,0.000005260963,0.000009294459,0.0002012645,0.00002421474,0.000029483,0.00003852304,0.05027965,0.9237752,0.0009406318,0.00002637515,0.02465256],"study_design_scores_gemma":[0.0003188432,0.00004056652,0.00002476483,0.0001969257,0.00001160338,0.00002957399,0.0008367894,0.00009213986,0.9920716,0.003382922,0.002648374,0.0003459384],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9519383,0.001639733,0.03465452,0.0003201013,0.003864171,0.0003672595,0.000140338,0.006910358,0.0001652649],"genre_scores_gemma":[0.8150887,0.001155567,0.1832871,0.00001947931,0.0001346042,0.00007831411,0.00005484785,0.00008422275,0.00009718652],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1486325,"threshold_uncertainty_score":0.9999397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02163229674107809,"score_gpt":0.2696254345185929,"score_spread":0.2479931377775148,"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."}}