{"id":"W2056696550","doi":"10.1007/s12630-010-9296-2","title":"Is preoperative opioid utilization an important factor in predicting phantom limb pain?","year":2010,"lang":"en","type":"letter","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"Pain Management and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Ketamine; Phantom limb; Phantom pain; Phantom limb pain; Context (archaeology); Opioid; Amputation; Morphine; Anesthesia; Incidence (geometry); Analgesic; Chronic pain; Imaging phantom; Surgery; Physical therapy; Internal medicine; Radiology","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":[0.0009156945,0.0003493988,0.001073532,0.0008067918,0.00104805,0.001171011,0.0007136937,0.009428782,0.004210071],"category_scores_gemma":[0.01311867,0.0004456048,0.0008588143,0.0008713217,0.0006772749,0.001140783,0.0002563767,0.005656198,0.001331855],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00117354,"about_ca_system_score_gemma":0.002361029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01460829,"about_ca_topic_score_gemma":0.02959189,"domain_scores_codex":[0.999171,0.0001724513,0.0001411461,0.00006759418,0.0002382422,0.000209538],"domain_scores_gemma":[0.9934889,0.003656342,0.0007441035,0.0001319556,0.0009220304,0.001056739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009775972,0.0004922352,0.7967743,0.0002171039,0.0002219969,0.04798448,0.000384862,0.0004090343,0.000864667,0.0007968749,0.09972014,0.05115667],"study_design_scores_gemma":[0.0006794406,0.00115146,0.771664,0.001224015,0.0007125139,0.1356414,0.00298023,0.008256572,0.0007416735,0.005687269,0.07098596,0.0002755714],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2405101,0.01220812,0.0006627371,0.7112347,0.01051713,0.00004549236,0.0005010839,0.00006429588,0.0242564],"genre_scores_gemma":[0.7881044,0.009949857,0.001601601,0.1396042,0.0528334,0.00007205133,0.0003139022,0.00002340541,0.007497197],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01460829,"threshold_uncertainty_score":0.02904654,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0266074656731763,"score_gpt":0.2583380822539127,"score_spread":0.2317306165807364,"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."}}