{"id":"W2934640215","doi":"10.1109/rbme.2019.2908940","title":"Therapeutic Systems and Technologies: State-of-the-Art Applications, Opportunities, and Challenges","year":2019,"lang":"en","type":"review","venue":"IEEE Reviews in Biomedical Engineering","topic":"3D Printing in Biomedical Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Office of Advanced Cyberinfrastructure; National Institute of General Medical Sciences; National Institutes of Health; National Science Foundation","keywords":"Neurorehabilitation; State (computer science); State of art; Intellectual property; Drug delivery; Computer science; Medical physics; Engineering; Engineering ethics; Medicine; Data science; Nanotechnology; Rehabilitation; Materials science","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":[0.0007991472,0.000863614,0.001035162,0.002676269,0.0003643706,0.001736806,0.0006931848,0.001314585,0.004247333],"category_scores_gemma":[0.001164378,0.0003452586,0.0005240873,0.00240688,0.0005216274,0.001832284,0.0007098506,0.001717493,0.002254904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006044169,"about_ca_system_score_gemma":0.001398725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007068022,"about_ca_topic_score_gemma":0.001237935,"domain_scores_codex":[0.9994987,0.00005503198,0.00006742543,0.00007242397,0.000260215,0.00004609536],"domain_scores_gemma":[0.9990786,0.0005796956,0.00008435901,0.00002381741,0.0001972981,0.00003616632],"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":[0.00003647639,0.00007457543,0.0001549282,0.0186593,0.00003884732,0.0001649803,0.00009214178,0.0005253459,0.004927453,0.01076692,0.01915943,0.9453996],"study_design_scores_gemma":[0.000004361335,0.00009869809,0.0004430711,0.003599541,0.00006713323,0.001164493,0.0000958559,0.0002538104,0.00172567,0.003305521,0.9892163,0.00002546905],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002373093,0.9956117,0.0004917589,0.0003732618,0.0002924488,0.00000787419,0.00002532079,0.00001598068,0.002944339],"genre_scores_gemma":[0.001105884,0.9967938,0.0006055447,0.0002142948,0.0002392999,0.000009358586,0.0000327403,0.000003376196,0.0009956033],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004247333,"threshold_uncertainty_score":0.01420873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1570527607511426,"score_gpt":0.3324270540021146,"score_spread":0.175374293250972,"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."}}