{"id":"W4385637359","doi":"10.3390/children10081355","title":"“Making Data the Drug”: A Pragmatic Pilot Feasibility Randomized Crossover Trial of Data Visualization as an Intervention for Pediatric Chronic Pain","year":2023,"lang":"en","type":"article","venue":"Children","topic":"Health Policy Implementation Science","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"University of British Columbia; Canadian Child Health Clinician Scientist Program; BC Children's Hospital; U.S. Consumer Product Safety Commission","keywords":"Randomized controlled trial; Data collection; Intervention (counseling); Visualization; Physical therapy; Chronic pain; Medicine; Clinical trial; Crossover study; Psychology; Applied psychology; Computer science; Alternative medicine; Data mining; Nursing","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"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04843722,0.0001427187,0.0004439874,0.0001801927,0.0008725928,0.000044971,0.001700043,0.00006579245,0.0002499265],"category_scores_gemma":[0.02994624,0.0001019718,0.0000655133,0.0009000006,0.0001336478,0.0009551683,0.0009630452,0.0002154262,0.00008123322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001608189,"about_ca_system_score_gemma":0.001185465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006783133,"about_ca_topic_score_gemma":0.001129839,"domain_scores_codex":[0.9891205,0.007489283,0.00169107,0.0006337282,0.0005240617,0.0005413795],"domain_scores_gemma":[0.9868095,0.009435076,0.001223688,0.002244831,0.0001886517,0.00009824592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"randomized_trial","study_design_gemma":"randomized_trial","study_design_scores_codex":[0.4305456,0.001694123,0.05833529,0.008135306,0.0003782347,8.97142e-7,0.05100262,0.00009245864,0.00008215768,0.01220411,0.4140359,0.02349331],"study_design_scores_gemma":[0.8992966,0.0008329925,0.02361435,0.0002614574,0.000259911,8.384167e-7,0.00150426,0.06569855,0.000005163734,0.005603918,0.002624986,0.0002969412],"study_design_candidate":"randomized_trial","study_design_consensus":"randomized_trial","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9407095,0.00005986718,0.03113166,0.004390793,0.0008766741,0.02008021,0.002485625,0.0002008138,0.00006485958],"genre_scores_gemma":[0.9902725,0.00005574093,0.0003938223,0.001474924,0.001371455,0.0007609824,0.005424909,0.00003278035,0.0002128995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.468751,"threshold_uncertainty_score":0.9798341,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6611943043392237,"score_gpt":0.6923692874450954,"score_spread":0.03117498310587175,"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."}}