{"id":"W2030838032","doi":"10.2196/jmir.3292","title":"Pain-QuILT: Clinical Feasibility of a Web-Based Visual Pain Assessment Tool in Adults With Chronic Pain","year":2014,"lang":"en","type":"article","venue":"Journal of Medical Internet Research","topic":"Pediatric Pain Management Techniques","field":"Medicine","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University Medical Centre; Hospital for Sick Children; Toronto Rehabilitation Institute; SickKids Foundation; University of Toronto; McMaster University","funders":"Canadian Arthritis Network; Canadian Institutes of Health Research; University of Toronto; Arthritis Society; McMaster University","keywords":"Quilt; Physical therapy; Chronic pain; Medicine; McGill Pain Questionnaire; Context (archaeology); Pain assessment; Usability; Physical medicine and rehabilitation; Pain management; Visual analogue scale; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2515483,0.0002207436,0.0009888776,0.0008845965,0.00002453624,0.00003501073,0.0009451623,0.0004048716,0.001050368],"category_scores_gemma":[0.05156731,0.0001515926,0.0002890994,0.0006879048,0.0007310451,0.0001024949,0.0002758949,0.003397457,0.000007494195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008986897,"about_ca_system_score_gemma":0.002886125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001720696,"about_ca_topic_score_gemma":0.0003259722,"domain_scores_codex":[0.9736931,0.01657934,0.00229474,0.0004872832,0.006190189,0.000755354],"domain_scores_gemma":[0.9858405,0.01140989,0.0005885276,0.000593263,0.0009564043,0.0006114105],"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":[0.0027518,0.002691708,0.8122653,0.001307712,0.0001242899,0.000741626,0.00005092665,0.000003463562,0.00007468827,0.00009560995,0.04925995,0.130633],"study_design_scores_gemma":[0.02036328,0.05319043,0.3645334,0.01218702,0.00009351693,0.00005500982,0.0003162768,0.5380017,0.0001107609,0.0005929435,0.01021147,0.0003442632],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8536422,0.0002156431,0.134379,0.01022352,0.00008038528,0.000885336,0.000001185871,0.00003858793,0.0005342048],"genre_scores_gemma":[0.9932694,0.0003154491,0.004174109,0.001227294,0.000811445,0.00003406706,0.000006789499,0.00003014137,0.0001312896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5379982,"threshold_uncertainty_score":0.9998628,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06584553812823092,"score_gpt":0.4857353046709071,"score_spread":0.4198897665426762,"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."}}