{"id":"W2494556365","doi":"10.2196/publichealth.5184","title":"A Comparison of Web and Telephone Responses From a National HIV and AIDS Survey","year":2016,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Centre for Disease Control; Public Health Ontario; University of British Columbia; University of Victoria; Centre for Social Innovation; University of Toronto","funders":"Canadian Institutes of Health Research; Canadian Foundation for AIDS Research","keywords":"Social desirability bias; Telephone interview; Public health; Random digit dialing; The Internet; Psychology; Non-response bias; Bivariate analysis; Multivariate analysis; Medicine; Selection bias; Social psychology; Family medicine; Environmental health; Social desirability; Population; Statistics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.01027422,0.0002577571,0.0003383661,0.001952606,0.0002682809,0.0008391164,0.0004568423,0.0005914735,0.00314312],"category_scores_gemma":[0.04860713,0.0002283207,0.000536613,0.002393196,0.0002576647,0.0007205071,0.0008797718,0.0003881853,0.001000931],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005713274,"about_ca_system_score_gemma":0.0006808654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007595453,"about_ca_topic_score_gemma":0.009140659,"domain_scores_codex":[0.9856414,0.00951506,0.0009781336,0.0009473623,0.002451259,0.0004667521],"domain_scores_gemma":[0.9707037,0.01408887,0.00705109,0.001438533,0.005905688,0.0008120729],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001631428,0.000228317,0.9478829,0.0004212183,0.0004340504,0.0001006256,0.003943997,0.0003749637,0.000934658,0.0001798045,0.003449136,0.04041892],"study_design_scores_gemma":[0.00003955764,0.0003905614,0.9938023,0.00008709394,0.0000552255,0.0001173176,0.002930667,0.0007712087,0.0002194984,0.00007082369,0.001500957,0.00001472148],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9907754,0.00016466,0.001500556,0.0001917913,0.00003527291,0.0003217747,0.004325187,0.00003804796,0.002647341],"genre_scores_gemma":[0.9898671,0.0002132905,0.001769282,0.0002741197,0.0000295665,0.0006611078,0.005969787,0.00001823034,0.001197387],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9897258,"threshold_uncertainty_score":0.05433589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2857383858563294,"score_gpt":0.48801036031137,"score_spread":0.2022719744550406,"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."}}