{"id":"W2134043657","doi":"10.1177/1545968308328717","title":"Training With Virtual Visual Feedback to Alleviate Phantom Limb Pain","year":2009,"lang":"en","type":"article","venue":"Neurorehabilitation and neural repair","topic":"Pain Management and Treatment","field":"Medicine","cited_by":192,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Phantom limb pain; Phantom limb; Physical medicine and rehabilitation; Visual analogue scale; Visual feedback; Medicine; Amputation; Physical therapy; Phantom pain; Motor imagery; Psychology; Surgery; Brain–computer interface; Electroencephalography; Computer 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":[0.0004258651,0.0002335624,0.0001923392,0.0001840646,0.0001338713,0.0001010479,0.0002356743,0.0002244898,0.003411435],"category_scores_gemma":[0.001146426,0.0000536275,0.00008760252,0.00007029307,0.0001906973,0.00009112403,0.0001421758,0.0002043855,0.0001591832],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008853707,"about_ca_system_score_gemma":0.0001357672,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001890942,"about_ca_topic_score_gemma":0.0004030399,"domain_scores_codex":[0.9998417,0.00006332208,0.00000867685,0.00001634262,0.00004315791,0.0000268152],"domain_scores_gemma":[0.9997298,0.0001474118,0.00005493657,0.00001138517,0.00002164464,0.00003469273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"nonrandomized_trial","study_design_scores_codex":[0.01281849,0.02408703,0.07199174,0.001900861,0.0002161076,0.001211062,0.001749741,0.003192138,0.3516715,0.0002856995,0.001333262,0.5295424],"study_design_scores_gemma":[0.002636893,0.2916159,0.5941112,0.0004253678,0.0001966534,0.01108827,0.0009875965,0.006084692,0.08666249,0.0005885743,0.005553045,0.00004937667],"study_design_candidate":"nonrandomized_trial","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981971,0.0002401699,0.0007517409,0.00004148631,0.000007407291,0.00006552281,0.000009138867,0.00001142617,0.0006760324],"genre_scores_gemma":[0.997846,0.0001459064,0.001471687,0.00002735357,0.00001246138,0.00009900578,0.00001369333,0.000001889213,0.0003820086],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003411435,"threshold_uncertainty_score":0.01141238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02368486571883563,"score_gpt":0.2997836959284795,"score_spread":0.2760988302096438,"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."}}