{"id":"W4412008953","doi":"10.1007/s11116-025-10654-1","title":"Investigating recall &amp; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.07514147,0.0006108671,0.0009302673,0.001256229,0.0009007907,0.002994366,0.00204812,0.001913113,0.001540774],"category_scores_gemma":[0.2206769,0.0005206225,0.001431454,0.003463527,0.002530135,0.003055298,0.003518059,0.001234386,0.0001868178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001066679,"about_ca_system_score_gemma":0.001579638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01109648,"about_ca_topic_score_gemma":0.006807158,"domain_scores_codex":[0.9371992,0.05017171,0.001958858,0.005606025,0.003698973,0.001365305],"domain_scores_gemma":[0.6973919,0.2436769,0.02685551,0.02623453,0.005200972,0.0006401211],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008587333,0.0001037166,0.8904188,0.0003145828,0.001757952,0.0001784629,0.003114098,0.009375542,0.0007523035,0.03274395,0.001025855,0.05935593],"study_design_scores_gemma":[0.0002220707,0.001568875,0.7064493,0.0003996319,0.002849417,0.001515934,0.008967795,0.149599,0.008199028,0.1080685,0.01200117,0.000159298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8022004,0.001522757,0.1892269,0.001437064,0.00008788241,0.0001880876,0.001138644,0.00009865678,0.004099573],"genre_scores_gemma":[0.9877402,0.0001568512,0.0106336,0.0001997053,0.00006643184,0.00007103943,0.0004463091,0.00001331552,0.0006724034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9248585,"threshold_uncertainty_score":0.3973908,"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."}}