{"id":"W3012903174","doi":"10.2196/16480","title":"Electronic Data Capture Versus Conventional Data Collection Methods in Clinical Pain Studies: Systematic Review and Meta-Analysis","year":2020,"lang":"en","type":"review","venue":"Journal of Medical Internet Research","topic":"Pain Management and Opioid Use","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health; Western University; University of Ottawa; McMaster University; Mount Sinai Hospital; Institute for Clinical Evaluative Sciences; University of Toronto; SickKids Foundation; Hospital for Sick Children","funders":"","keywords":"Electronic data capture; Meta-analysis; MEDLINE; Medicine; Data collection; Pain assessment; Cochrane Library; Systematic review; Modalities; Electronic data; Physical therapy; Clinical trial; Information retrieval; Pain management; Computer science; Statistics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch","metaepi_broad"],"consensus_categories":[],"category_scores_codex":[0.1066767,0.004031317,0.02812598,0.01566756,0.0009767397,0.006221336,0.003943368,0.00347853,0.004388083],"category_scores_gemma":[0.2207458,0.002293088,0.04263461,0.01678983,0.001985478,0.005768404,0.003438643,0.003018411,0.0003873306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006175,"about_ca_system_score_gemma":0.00934744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004209295,"about_ca_topic_score_gemma":0.00842992,"domain_scores_codex":[0.8514358,0.09143619,0.03874948,0.005769867,0.01147525,0.001133376],"domain_scores_gemma":[0.7934761,0.167382,0.02528643,0.005297228,0.008041146,0.0005171055],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001189388,0.00003810085,0.002223896,0.653088,0.3232741,0.00005656043,0.0001562585,0.0004415039,0.00009674166,0.0003371117,0.0004504162,0.01864801],"study_design_scores_gemma":[0.002179515,0.0005213431,0.003118386,0.1575637,0.8320688,0.00009728554,0.0001446976,0.0004971303,0.0002597712,0.0008737161,0.002605298,0.00007032312],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002839743,0.9893352,0.003214167,0.0003379061,0.000305827,0.002945776,0.000658623,0.0000453266,0.000317497],"genre_scores_gemma":[0.1409188,0.8079923,0.0227052,0.001837208,0.0005615808,0.02420844,0.001349063,0.00007699349,0.0003504213],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.971874,"threshold_uncertainty_score":0.564167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7116317296275922,"score_gpt":0.6710071810726996,"score_spread":0.04062454855489261,"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."}}