{"id":"W4412008953","doi":"10.1007/s11116-025-10654-1","title":"Investigating recall & proxy bias in household travel surveys under the core-satellite fusion paradigm","year":2025,"lang":"en","type":"article","venue":"Transportation","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Proxy (statistics); Recall; Satellite; Computer science; Geography; Economic geography; Psychology; Engineering; Cognitive psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00329645,0.00009924934,0.0001464104,0.0001229796,0.0004478711,0.0000574178,0.000176538,0.0001077931,0.00006610507],"category_scores_gemma":[0.0001128102,0.00008321791,0.00007391763,0.001073845,0.0002563106,0.0001301427,0.00000155345,0.0001820855,0.000009806914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009236216,"about_ca_system_score_gemma":0.0002780445,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03542886,"about_ca_topic_score_gemma":0.5230158,"domain_scores_codex":[0.9982609,0.0005995486,0.0003967954,0.0002433009,0.0002954428,0.0002040284],"domain_scores_gemma":[0.9991589,0.0004425542,0.00010114,0.0001894884,0.00005617757,0.00005171246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000168522,0.0002056694,0.7711987,0.00009370975,0.0000446837,0.000001514981,0.07104817,0.01482129,0.0007821009,0.1162295,0.0001028813,0.02545486],"study_design_scores_gemma":[0.0002014601,0.000006850796,0.9732669,0.00007444998,0.00003966526,1.454415e-8,0.004044206,0.0004839821,0.00008475962,0.02000755,0.0016817,0.000108455],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9826247,0.0001278982,0.01179897,0.00332983,0.0000815646,0.0004046257,0.00001213507,0.00005931274,0.001560992],"genre_scores_gemma":[0.9980322,0.0001343696,0.0001141577,0.0004404116,0.00003372348,0.00004009185,0.0001879029,0.000006806617,0.001010337],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4875869,"threshold_uncertainty_score":0.9709943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1225822753475221,"score_gpt":0.337008355566395,"score_spread":0.2144260802188729,"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."}}