{"id":"W4404718207","doi":"10.1097/j.pain.0000000000003472","title":"The local molecular signature of human peripheral neuropathic pain","year":2024,"lang":"en","type":"article","venue":"Pain","topic":"Pain Mechanisms and Treatments","field":"Medicine","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"International Collaboration On Repair Discoveries; University of British Columbia","funders":"Ono Pharmaceutical; Universität Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; International Foundation for Research in Paraplegia; University of Oxford; National Institute for Health and Care Research; Wellcome Trust; Michael Smith Health Research BC; Oxford University Hospitals NHS Foundation Trust; National Science Foundation","keywords":"Neuropathic pain; Neuroma; Medicine; CD163; Context (archaeology); Pathology; Neurogenesis; Nerve injury; Neuroscience; Biology; Gene; Phenotype; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004776485,0.0001009805,0.0001268517,0.00002914023,0.00007471546,0.00001930965,0.00006474913,0.00006335816,0.00005353657],"category_scores_gemma":[0.0003491731,0.0000607091,0.0001033986,0.0001168381,0.00005924698,0.00001365276,0.00001768608,0.0002017267,0.0000103105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003315683,"about_ca_system_score_gemma":0.00003957876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001750108,"about_ca_topic_score_gemma":0.000004115969,"domain_scores_codex":[0.9981861,0.001168501,0.0001306414,0.000159559,0.0001927929,0.000162424],"domain_scores_gemma":[0.9992841,0.0004112055,0.0000187442,0.0002025554,0.0000249214,0.00005843663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000067033,0.0002226547,0.001096852,0.0004810368,0.0003310763,0.003053167,0.0008182157,0.00003492923,0.3347805,0.0367832,0.003933848,0.6183975],"study_design_scores_gemma":[0.004233044,0.008351398,0.005054595,0.003434748,0.001057669,0.0002264514,0.003182401,0.6239399,0.1314443,0.06140552,0.1564526,0.001217423],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1523166,0.02672516,0.8084684,0.006151114,0.000514031,0.001013635,0.00001492938,0.0003677361,0.004428364],"genre_scores_gemma":[0.997871,0.00002177848,0.0001918216,0.000939491,0.00005631977,0.0000167483,0.00001070748,0.00002315244,0.0008689905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8455544,"threshold_uncertainty_score":0.2475645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007933535440625694,"score_gpt":0.260042223078516,"score_spread":0.2521086876378903,"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."}}