{"id":"W2013578576","doi":"10.2196/jmir.6.3.e34","title":"Improving the Quality of Web Surveys: The Checklist for Reporting Results of Internet E-Surveys (CHERRIES)","year":2004,"lang":"en","type":"editorial","venue":"Journal of Medical Internet Research","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":6373,"is_retracted":false,"has_abstract":true,"ca_institutions":"JMIR Publications; University of Toronto; University Health Network","funders":"","keywords":"Checklist; The Internet; Consolidated Standards of Reporting Trials; Sample (material); Quality (philosophy); Web application; World Wide Web; MEDLINE; Psychology; Medical education; Medicine; Randomized controlled trial; Computer science; Political science","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"],"consensus_categories":[],"category_scores_codex":[0.1495455,0.004173866,0.005460678,0.01012857,0.003159632,0.00987391,0.006550005,0.01298337,0.003252418],"category_scores_gemma":[0.4852689,0.002558324,0.003429184,0.005044107,0.006539702,0.006550073,0.003334017,0.02297093,0.005266852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004725991,"about_ca_system_score_gemma":0.01363105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002288669,"about_ca_topic_score_gemma":0.005220822,"domain_scores_codex":[0.818566,0.1028084,0.03357732,0.002944035,0.04087102,0.001233315],"domain_scores_gemma":[0.3913898,0.3297883,0.03406812,0.01452895,0.2232752,0.006949545],"domain_codex":null,"domain_gemma":"reporting","domain_candidate":"reporting","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000406393,0.00002992225,0.0001123368,0.001492869,0.00006893149,0.00007458676,0.0002077713,0.00004997719,0.0001121121,0.0004904119,0.9701675,0.02715295],"study_design_scores_gemma":[0.0002057134,0.0001736553,0.001763195,0.005258095,0.0002379656,0.0005478697,0.0003675989,0.0007696721,0.0004867023,0.002439128,0.9876056,0.0001448775],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0002004637,0.0111543,0.01116332,0.1156143,0.8587367,0.0009400247,0.0002121034,0.0006605019,0.001318375],"genre_scores_gemma":[0.003653538,0.02575968,0.04496473,0.1447345,0.7637396,0.004882214,0.0005484496,0.001093652,0.01062352],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.8504545,"threshold_uncertainty_score":0.7908816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4319190424715538,"score_gpt":0.587024222529761,"score_spread":0.1551051800582073,"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."}}