{"id":"W4323351119","doi":"10.1093/jcag/gwac036.068","title":"A68 HOW REAL ARE YOUR SURVEY RESPONDENTS? IDENTIFYING FRAUDULENT RESPONDENTS IN ONLINE SURVEYS – A CASE EXAMPLE IN INFLAMMATORY BOWEL DISEASE (IBD)","year":2023,"lang":"en","type":"article","venue":"Journal of the Canadian Association of Gastroenterology","topic":"Social Media in Health Education","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; University of Toronto; Mount Sinai Hospital; University of Calgary","funders":"","keywords":"Social media; Medicine; Family medicine; Health care; Internet privacy; Computer science; World Wide Web; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.03580674,0.0004010637,0.0003656104,0.001860483,0.002549013,0.002162165,0.001275176,0.002157506,0.002927547],"category_scores_gemma":[0.1180631,0.0002793963,0.0004620844,0.002586812,0.001664644,0.001886089,0.001857606,0.001558807,0.001053508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002178994,"about_ca_system_score_gemma":0.002484758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01600187,"about_ca_topic_score_gemma":0.01729069,"domain_scores_codex":[0.9530255,0.03586923,0.002888176,0.001830874,0.004191039,0.002195108],"domain_scores_gemma":[0.8952838,0.06303389,0.01638223,0.005911547,0.01667286,0.00271558],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004017566,0.0003915064,0.8146722,0.0005176228,0.00005502,0.002422406,0.04022594,0.0003834148,0.001714383,0.003826407,0.02408937,0.1113],"study_design_scores_gemma":[0.0001454143,0.001573359,0.6186118,0.003027331,0.0002176917,0.01426661,0.1763482,0.03221355,0.01078116,0.01132325,0.1311887,0.000303046],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9254361,0.0007436519,0.02918951,0.03339627,0.0002562114,0.001236381,0.001550923,0.0002298945,0.007961229],"genre_scores_gemma":[0.9642717,0.0003968763,0.02743834,0.004949447,0.0001033972,0.0007514278,0.0003190055,0.00004028462,0.001729681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9978425,"threshold_uncertainty_score":0.1893663,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1133438762901617,"score_gpt":0.3675669149780452,"score_spread":0.2542230386878835,"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."}}