{"id":"W4414086361","doi":"10.1016/j.tra.2025.104650","title":"The Hitchhiker’s Guide to challenges in transport policy research: Towards ANSWERing questions regarding life, mobility, and everything","year":2025,"lang":"en","type":"article","venue":"Transportation Research Part A Policy and Practice","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Instituto de Sistemas Complejos de Ingeniería; National Natural Science Foundation of China","keywords":"Identification (biology); Resilience (materials science); Field (mathematics); Transportation planning; Transport policy; State (computer science); Policy analysis; Component (thermodynamics); Public policy","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":[],"consensus_categories":[],"category_scores_codex":[0.04146248,0.00416113,0.005545747,0.009176518,0.006056373,0.01784236,0.008543232,0.02520621,0.01880553],"category_scores_gemma":[0.09222329,0.00391018,0.002410216,0.01169605,0.04030344,0.0293591,0.008511074,0.03078795,0.01386015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008861923,"about_ca_system_score_gemma":0.03455067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02990565,"about_ca_topic_score_gemma":0.05205252,"domain_scores_codex":[0.96135,0.02496072,0.004134856,0.001949036,0.006629971,0.0009754962],"domain_scores_gemma":[0.8512763,0.1220032,0.002234392,0.004393682,0.01689172,0.003200592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001974697,0.00005375385,0.0001841408,0.0008583401,0.00003363378,0.0001596171,0.003251914,0.0002830293,0.000114884,0.2694511,0.6910115,0.03457835],"study_design_scores_gemma":[0.00002574012,0.00001573012,0.0001593516,0.002504567,0.00001724162,0.0001568935,0.001504489,0.000349971,0.0000698495,0.2054306,0.789714,0.0000515004],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0002705603,0.1594443,0.1250214,0.6240902,0.02146755,0.0005878682,0.001164572,0.0008827614,0.06707079],"genre_scores_gemma":[0.01835867,0.2499158,0.2653558,0.3047988,0.02617656,0.005477245,0.001367562,0.001873164,0.1266763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04146248,"threshold_uncertainty_score":0.2192772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2643142338386457,"score_gpt":0.5416925992157736,"score_spread":0.277378365377128,"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."}}