{"id":"W4311679548","doi":"10.1097/j.pain.0000000000002808","title":"Predicting placebo analgesia in patients with chronic pain using natural language processing: a preliminary validation study","year":2022,"lang":"en","type":"article","venue":"Pain","topic":"Pain Management and Placebo Effect","field":"Neuroscience","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Complementary and Integrative Health; National Institute on Drug Abuse; Canadian Institutes of Health Research; National Institutes of Health","keywords":"Placebo; Medicine; Placebo response; Pill; Chronic pain; Anesthesia; Physical therapy; Pharmacology; Pathology","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":[0.02114468,0.0001628865,0.0001436551,0.0002392327,0.0003687919,0.00007024538,0.0002431348,0.00001870531,0.00004455492],"category_scores_gemma":[0.002522827,0.0001505894,0.00002435147,0.0007631406,0.00002394124,0.0002278607,0.0001517527,0.0003057163,0.000001965606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002979074,"about_ca_system_score_gemma":0.00005603413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008407769,"about_ca_topic_score_gemma":0.00002483824,"domain_scores_codex":[0.982568,0.01590621,0.0002021022,0.0004423035,0.000551504,0.0003299221],"domain_scores_gemma":[0.997583,0.002034372,0.0001502988,0.0001867753,0.00001185084,0.00003371485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007170398,0.0005144619,0.9246927,0.0001096611,0.000009059806,0.00008235075,0.003993278,0.01600524,0.001598411,0.000002324697,0.00007202325,0.05220341],"study_design_scores_gemma":[0.001686534,0.0009957441,0.04919714,0.00005681113,0.00002253101,9.546741e-7,0.001557598,0.9459769,0.0002460858,0.00000362747,0.00004064334,0.0002153934],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932425,0.00008810442,0.004642353,0.00002865552,0.00006626923,0.001677015,0.000004132505,0.0001080454,0.0001429057],"genre_scores_gemma":[0.9993991,2.263613e-7,0.00006643917,0.0001632059,0.00003859998,0.0001661555,0.00002568018,0.00002520265,0.0001154077],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9299717,"threshold_uncertainty_score":0.7328365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361073348334401,"score_gpt":0.2531098498333611,"score_spread":0.2394991163500171,"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."}}