{"id":"W4402655446","doi":"10.33425/2639-846x.1081","title":"Using Haptic Technology for Pain Reduction and Functional Improvement","year":2024,"lang":"en","type":"article","venue":"Anesthesia & Pain Research","topic":"Pain Management and Treatment","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Haptic technology; Reduction (mathematics); Computer science; Medicine; Physical medicine and rehabilitation; Simulation; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001266349,0.0003693554,0.0006511748,0.0004269036,0.0003062629,0.0005356721,0.0003912999,0.0006021644,0.008019698],"category_scores_gemma":[0.001297454,0.0001414923,0.0007324677,0.0002685553,0.0006463711,0.0004977303,0.0003898803,0.001033377,0.0005313896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003768755,"about_ca_system_score_gemma":0.0007539008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005466301,"about_ca_topic_score_gemma":0.001434911,"domain_scores_codex":[0.9988371,0.0004407096,0.00009644953,0.0001094723,0.0004072719,0.000109058],"domain_scores_gemma":[0.9995447,0.0001818218,0.0001333669,0.00004227481,0.00004064935,0.00005719792],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1019503,0.03271924,0.005476789,0.01228928,0.001008152,0.0003642174,0.0004570285,0.0005703213,0.1032971,0.004225549,0.007474394,0.7301676],"study_design_scores_gemma":[0.09266378,0.7201504,0.07240466,0.003277466,0.001496058,0.001876399,0.0007767379,0.001790959,0.04076486,0.002102601,0.06258748,0.0001086744],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8858994,0.04716154,0.01064588,0.002897037,0.001313765,0.01479956,0.001178014,0.0002851836,0.03581965],"genre_scores_gemma":[0.9632543,0.0155135,0.008530132,0.001501163,0.0005765141,0.004821223,0.0002754123,0.00001420049,0.005513541],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008019698,"threshold_uncertainty_score":0.02682853,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1084217977709135,"score_gpt":0.3846269305573238,"score_spread":0.2762051327864102,"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."}}