{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009605038,0.0001567071,0.0001603612,0.00009327532,0.0001704034,0.0001389375,0.0007047877,0.0001137694,0.00004070012],"category_scores_gemma":[0.00006051073,0.0001085098,0.00004236571,0.000464843,0.00008423997,0.000120048,0.000142324,0.0002704276,0.00003427329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007369241,"about_ca_system_score_gemma":0.00003474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001522475,"about_ca_topic_score_gemma":0.00002721477,"domain_scores_codex":[0.9992193,0.00002343331,0.0001879107,0.0001989075,0.0001030714,0.0002673969],"domain_scores_gemma":[0.9992789,0.0001025917,0.00002585948,0.0004891091,0.00007937785,0.00002418467],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006056067,0.0002181002,0.00520795,0.000741169,0.0001743228,0.00001963268,0.007355305,0.8288839,0.005821394,0.04039531,0.02556924,0.08555311],"study_design_scores_gemma":[0.002879296,0.0004678853,0.002541304,0.001349454,0.0001389006,0.00002170372,0.00952021,0.04616515,0.106047,0.0366958,0.7926715,0.001501798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7263131,0.005654258,0.05976413,0.038738,0.004798937,0.004677366,0.00005312487,0.0017857,0.1582154],"genre_scores_gemma":[0.9973256,0.00006967291,0.0007154143,0.0006109923,0.00003021383,0.0001433055,0.000003473767,0.0000339126,0.001067412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7827188,"threshold_uncertainty_score":0.4424902,"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."}}