{"id":"W2065202517","doi":"10.1002/atr.5670360104","title":"Impact of interviewing by proxy in travel survey conducted by telephone","year":2002,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"TRIPS architecture; Interview; Proxy (statistics); Sample (material); Data collection; Telephone interview; Transport engineering; Survey data collection; Business; Geography; Statistics; Engineering; Mathematics; Political science; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009562092,0.00007971556,0.0002797768,0.0001412671,0.00007199333,0.000011926,0.0001260112,0.00005909403,0.000386183],"category_scores_gemma":[0.0001544402,0.0000723995,0.0001533653,0.0005890483,0.00009846351,0.0004434065,4.386285e-7,0.0001589295,0.000001121466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281504,"about_ca_system_score_gemma":0.00008009881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00520275,"about_ca_topic_score_gemma":0.01263428,"domain_scores_codex":[0.9985302,0.0002366085,0.0006839551,0.00009746174,0.0003129926,0.0001387701],"domain_scores_gemma":[0.9988984,0.0001419759,0.0004833879,0.00006422319,0.0003367294,0.00007521088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003656246,0.001966071,0.6802355,0.0001092917,0.0002925859,0.00001212835,0.1193405,0.02269929,0.09835595,0.00005841614,0.001507406,0.07505718],"study_design_scores_gemma":[0.001158157,0.0002494716,0.9914572,0.000104169,0.00004337304,3.144501e-7,0.004740888,0.0001794278,0.001652073,0.0001444238,0.0001448656,0.0001256687],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997207,0.0006534249,0.001733848,0.0001256336,0.00005467638,0.0001065735,0.0000500114,0.000004046303,0.0000647566],"genre_scores_gemma":[0.9992909,0.0003900559,0.0001351982,0.00001243764,0.00001953042,0.000002081212,0.00005926952,0.000005978498,0.00008447737],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3112216,"threshold_uncertainty_score":0.7865037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03203829477773317,"score_gpt":0.3291637087143776,"score_spread":0.2971254139366444,"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."}}