{"id":"W2516476291","doi":"10.1061/(asce)up.1943-5444.0000370","title":"Receipt of Travel Survey Advance Letter and Its Impact on Reported Trips and Number of Phone Calls for Survey Completion in Telephone Surveys","year":2016,"lang":"en","type":"article","venue":"Journal of Urban Planning and Development","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"TRIPS architecture; Respondent; Receipt; Phone; Survey data collection; Telephone survey; Travel survey; Survey methodology; Geography; Travel behavior; Business; Transport engineering; Advertising; Medicine; Statistics; Engineering; Political science; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04986448,0.0003341951,0.0005758865,0.002057829,0.0007311138,0.00176706,0.001204191,0.00067679,0.004095689],"category_scores_gemma":[0.2764785,0.0004062794,0.001113259,0.00360442,0.0008400552,0.001443265,0.001756545,0.001272217,0.0009375442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00189763,"about_ca_system_score_gemma":0.002395604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01246438,"about_ca_topic_score_gemma":0.01394609,"domain_scores_codex":[0.8650556,0.1045457,0.007841987,0.00281363,0.017575,0.002168223],"domain_scores_gemma":[0.565169,0.2858244,0.1028464,0.01763171,0.02356007,0.004968347],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004977299,0.0003993361,0.9833451,0.0001400592,0.0001673878,0.00008311513,0.0011369,0.0004356475,0.0001320947,0.0001145322,0.0005519314,0.01299621],"study_design_scores_gemma":[0.00000775968,0.0005118138,0.9972351,0.00004615221,0.00005236908,0.00007809752,0.0008154465,0.0005263161,0.000128706,0.00004176167,0.0005461432,0.00001039582],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9900136,0.0003367238,0.001454428,0.0005237525,0.00004397026,0.0004133852,0.002593277,0.00003506087,0.004585752],"genre_scores_gemma":[0.9948009,0.0002269434,0.001747991,0.000155223,0.00004333228,0.0003467471,0.001547895,0.00001981297,0.001111237],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9501355,"threshold_uncertainty_score":0.2637118,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.215931095157799,"score_gpt":0.4353407763711194,"score_spread":0.2194096812133204,"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."}}