{"id":"W2625926936","doi":"","title":"Design and development of a telerehabilitation platform for patients with phantom limb pain","year":2017,"lang":"en","type":"article","venue":"JMIR Rehabilitation and Assistive Technologies","topic":"Pain Management and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telerehabilitation; Usability; Phantom limb pain; Fidelity; Imaging phantom; Phantom pain; Phantom limb; Computer science; Physical medicine and rehabilitation; Medicine; Rehabilitation; Human–computer interaction; Physical therapy; Amputation; Telemedicine; Health care","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00173495,0.0006115527,0.000236693,0.0003684259,0.0003750196,0.0008028338,0.001387191,0.0008334641,0.004099501],"category_scores_gemma":[0.00318593,0.0002804165,0.0005002183,0.0001142925,0.0004622029,0.0006298078,0.001197989,0.0005866018,0.0006446141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003381523,"about_ca_system_score_gemma":0.001081588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002961741,"about_ca_topic_score_gemma":0.0004139644,"domain_scores_codex":[0.9990127,0.0004816177,0.0000986169,0.0001102628,0.0001847394,0.0001120208],"domain_scores_gemma":[0.9986571,0.0006558978,0.0001057666,0.00009764314,0.0002960679,0.0001875473],"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":[0.00267586,0.005528871,0.03038912,0.004529961,0.0002378714,0.005627668,0.02421146,0.02129169,0.2564341,0.00703079,0.008955042,0.6330878],"study_design_scores_gemma":[0.005397033,0.06072527,0.123996,0.003093702,0.001467517,0.02297937,0.02021242,0.2627985,0.2617526,0.01136032,0.2253361,0.00088127],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5896304,0.0003696414,0.3896948,0.001204169,0.0001585738,0.007145852,0.0002477443,0.002283241,0.009265503],"genre_scores_gemma":[0.6344511,0.0003120667,0.3553411,0.0004014437,0.00002944332,0.00473204,0.0001994034,0.0001553484,0.004378114],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.004099501,"threshold_uncertainty_score":0.01371413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02588235689198697,"score_gpt":0.295306207282047,"score_spread":0.2694238503900601,"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."}}