{"id":"W2902375082","doi":"10.1016/j.neulet.2018.11.044","title":"Pre- and postoperative predictors of phantom limb pain","year":2018,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Pain Management and Treatment","field":"Medicine","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Amputation; Phantom limb; Chronic pain; Medicine; Anxiety; Phantom pain; Depression (economics); Phantom limb pain; Pain catastrophizing; Anesthesia; Physical therapy; Sensation; Incidence (geometry); Neuropathic pain; Surgery; Psychology; Psychiatry","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":[0.0002220104,0.0000754741,0.0001013963,0.00007650007,0.00006455854,0.00001316032,0.00006165324,0.00001347329,0.00000755216],"category_scores_gemma":[0.0001181718,0.00005642209,0.00002222067,0.0001627438,0.0004488048,0.00008431646,0.00003570435,0.00004100789,0.00000297931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000123649,"about_ca_system_score_gemma":0.00001078436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001174986,"about_ca_topic_score_gemma":0.000001599629,"domain_scores_codex":[0.9992979,0.00005583675,0.00009233622,0.0002173207,0.0001904565,0.0001461457],"domain_scores_gemma":[0.999701,0.00004208447,0.00003550419,0.0001396192,0.00001999023,0.00006175759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007771133,0.0001225905,0.4119686,0.00002145245,0.000009784554,0.00003842505,0.0007293482,0.000001410109,0.5807282,0.00005929538,0.003445475,0.00279777],"study_design_scores_gemma":[0.0009503997,0.002383722,0.9572732,0.00004264899,0.00004833159,0.00001138954,0.00004860134,0.001484731,0.0305486,0.000006610082,0.007112084,0.00008962316],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912517,0.00001915114,0.0006144662,0.007087288,0.0001673925,0.0002377989,0.00000166946,0.00002724711,0.0005933041],"genre_scores_gemma":[0.9811901,0.00001215169,0.0001809018,0.018198,0.00006081985,0.000006107967,9.469528e-7,0.000004933425,0.0003460202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5501795,"threshold_uncertainty_score":0.2300826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01349328220796793,"score_gpt":0.261836447932451,"score_spread":0.2483431657244831,"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."}}