{"id":"W4283312936","doi":"10.2196/32910","title":"Conflicting Aims and Values in the Application of Smart Sensors in Geriatric Rehabilitation: Ethical Analysis","year":2022,"lang":"en","type":"article","venue":"JMIR mhealth and uhealth","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Gesundheit","keywords":"Beneficence; Autonomy; Rehabilitation; Economic Justice; Relevance (law); mHealth; Applied psychology; Computer science; Quality (philosophy); Psychology; Medicine; Engineering ethics; Nursing; Engineering; Physical therapy; Psychological intervention","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001684987,0.00007169659,0.0002059587,0.0003048416,0.0001152429,0.000008256587,0.00005840469,0.0000650671,0.000003280426],"category_scores_gemma":[0.00005151609,0.00006161314,0.00002719388,0.000999998,0.00005652184,0.00002165125,0.0000210839,0.0004236531,1.985169e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006472339,"about_ca_system_score_gemma":0.00003878066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001737604,"about_ca_topic_score_gemma":0.0001111916,"domain_scores_codex":[0.9988186,0.0002690388,0.0004177939,0.0001546041,0.00017214,0.0001677708],"domain_scores_gemma":[0.9990838,0.0006188125,0.00007291888,0.0001435093,0.00002311556,0.0000578374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001173017,0.0002623899,0.5180137,0.00360972,0.00004022281,0.000002070793,0.09195913,0.3457239,0.00007792099,0.0223061,0.0001477778,0.01773976],"study_design_scores_gemma":[0.0004377744,0.0002712297,0.7630682,0.000007763965,0.00003808673,0.000003538694,0.005441947,0.2282032,0.00000151918,0.001607607,0.0008261999,0.00009294984],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936832,0.0006499404,0.0003726305,0.004722875,0.00003695249,0.0004377105,0.000009211797,0.00001900971,0.00006843483],"genre_scores_gemma":[0.9985827,0.000180047,0.0008444212,0.0002435322,0.00001329517,0.0001177999,0.000008568953,0.00000711132,0.0000025035],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2450545,"threshold_uncertainty_score":0.2512511,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01641374773133908,"score_gpt":0.3415272250447373,"score_spread":0.3251134773133982,"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."}}