{"id":"W4416744700","doi":"10.5753/webmedia.2025.15492","title":"Where Next? A Behavioral and Explainable Framework for City and Neighborhood Recommendation","year":2025,"lang":"","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Tourism; Recommender system; Work (physics); Through-the-lens metering; Urban computing","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":[0.001393404,0.0007284345,0.0004749722,0.00239753,0.0007033991,0.001628109,0.001619176,0.001280342,0.004179353],"category_scores_gemma":[0.005656335,0.0004238294,0.001477474,0.001907858,0.0005914622,0.002738886,0.0009376974,0.001368383,0.001072597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001468081,"about_ca_system_score_gemma":0.001254852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0702401,"about_ca_topic_score_gemma":0.1161788,"domain_scores_codex":[0.9991863,0.0002999279,0.00006049906,0.0002873791,0.0001099982,0.0000558529],"domain_scores_gemma":[0.9980999,0.001043834,0.0002045286,0.0002984303,0.0002609908,0.00009233766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000414144,0.0008535638,0.1212156,0.0006410847,0.0008673692,0.0007187542,0.004064229,0.2431609,0.005056699,0.2580699,0.03078689,0.3341509],"study_design_scores_gemma":[0.00002310234,0.00005895799,0.008088589,0.00007529553,0.00009592671,0.0001603355,0.0004360064,0.9063211,0.0008261544,0.06785139,0.01600295,0.00006023872],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03781273,0.0004908403,0.9419755,0.004018224,0.00009029114,0.0002468725,0.006558736,0.003324102,0.00548281],"genre_scores_gemma":[0.4872296,0.0004413416,0.5004647,0.000526776,0.00008104615,0.0003842965,0.006080477,0.0001797241,0.004612178],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0702401,"threshold_uncertainty_score":0.1396625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0420744495396925,"score_gpt":0.3649248452914126,"score_spread":0.32285039575172,"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."}}