{"id":"W7134848558","doi":"10.1109/mpuls.2025.3640878","title":"Advancing Prosthetic Care Access on the Thailand–Burma Border Through Open-Source Technology","year":2025,"lang":"en","type":"article","venue":"IEEE Pulse","topic":"Prosthetics and Rehabilitation Robotics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Genomics; Queen's University","funders":"","keywords":"Work (physics); Health care; Economic shortage; Staffing; Autonomy; Resource (disambiguation); Workload; Orthotics","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":["open_science"],"consensus_categories":[],"category_scores_codex":[0.004164557,0.0002724054,0.0001083168,0.0009237164,0.001484581,0.004266703,0.0008721909,0.0006225968,0.01161223],"category_scores_gemma":[0.007943986,0.0001985,0.0003435464,0.0008877707,0.001159542,0.002272152,0.005968847,0.001081187,0.001228263],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001148501,"about_ca_system_score_gemma":0.004239167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003097265,"about_ca_topic_score_gemma":0.005498137,"domain_scores_codex":[0.9979268,0.0009412767,0.0001407882,0.0001286732,0.000599441,0.0002629748],"domain_scores_gemma":[0.9925788,0.003440585,0.0008439043,0.0009271826,0.001112081,0.001097421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003173655,0.000709948,0.03790669,0.0008614166,0.00003676744,0.003377232,0.03556104,0.002080469,0.01628209,0.02493741,0.01727735,0.8606523],"study_design_scores_gemma":[0.0002264893,0.002460192,0.1124611,0.002964616,0.00009791441,0.00784071,0.06658524,0.00891168,0.02123688,0.02025845,0.7567446,0.0002121308],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7286021,0.006041549,0.08203169,0.01908639,0.0006386149,0.0007327092,0.0005319553,0.001301324,0.1610337],"genre_scores_gemma":[0.8913848,0.00426791,0.08339898,0.001066493,0.0001931935,0.0003732905,0.0003731698,0.0002361843,0.01870601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9991278,"threshold_uncertainty_score":0.03884679,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009011386862172755,"score_gpt":0.2943561107072034,"score_spread":0.2853447238450306,"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."}}