{"id":"W4414300886","doi":"10.1016/j.health.2025.100419","title":"An analytical review of biosensor-based chronic pain quantification in healthcare","year":2025,"lang":"en","type":"article","venue":"Healthcare Analytics","topic":"Musculoskeletal pain and rehabilitation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Rehabilitation Institute; University of Toronto; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Liverpool; Biotechnology and Biological Sciences Research Council; McMaster University","keywords":"Chronic pain; Biomarker; Workflow; Health care; Analytics; Precision medicine; Quantitative sensory testing","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00239876,0.00142148,0.001704751,0.003550373,0.0004321476,0.001973033,0.001355629,0.002045897,0.003563352],"category_scores_gemma":[0.003816446,0.0006874508,0.001260093,0.003946576,0.0006480328,0.002030507,0.001043755,0.001482701,0.002208262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001335461,"about_ca_system_score_gemma":0.00206446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002300707,"about_ca_topic_score_gemma":0.002330944,"domain_scores_codex":[0.998223,0.0004851173,0.0002649712,0.0002535286,0.0006821852,0.00009115954],"domain_scores_gemma":[0.9973035,0.001600024,0.0002217464,0.00007130751,0.0007542107,0.00004919469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001283606,0.0001315432,0.0006242471,0.05905537,0.0003082089,0.0003331481,0.0001865477,0.001727137,0.008332599,0.01514661,0.03849448,0.8755317],"study_design_scores_gemma":[0.00001547799,0.0003810237,0.001568235,0.01198267,0.0003292189,0.001182572,0.0001519075,0.001397758,0.005872583,0.005495709,0.9715266,0.00009615026],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003049786,0.9928961,0.002947497,0.0008659763,0.0005873134,0.00002837839,0.00007001276,0.00002315125,0.00227653],"genre_scores_gemma":[0.002531605,0.992592,0.00269718,0.0006619936,0.0004911556,0.00004693687,0.00009004915,0.00000832564,0.0008807326],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003563352,"threshold_uncertainty_score":0.01268601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03942820868580988,"score_gpt":0.4076341003621826,"score_spread":0.3682058916763727,"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."}}