{"id":"W7116728125","doi":"10.1007/978-3-032-13509-4_34","title":"CityHood: An Explainable Travel Recommender System for Cities and Neighborhoods","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in social networks","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Recommender system; Work (physics); Point of interest; Personalization","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001078245,0.0003450605,0.000690477,0.0002047837,0.001571421,0.0002001531,0.0002952902,0.001293803,0.0001771198],"category_scores_gemma":[0.0001622658,0.0003789747,0.00024155,0.0001716985,0.0003648233,0.000107098,0.00004355193,0.0006518328,9.839199e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005039604,"about_ca_system_score_gemma":0.0003564718,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002212103,"about_ca_topic_score_gemma":0.03945189,"domain_scores_codex":[0.997994,0.0002359429,0.0004437917,0.0005681756,0.0002672742,0.0004907993],"domain_scores_gemma":[0.9981822,0.001096931,0.0002101186,0.0002205076,0.0001838192,0.0001063657],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001059286,0.00005826357,0.0002720533,0.000526112,0.0003121297,0.000006306516,0.02954677,0.002508915,5.536315e-7,0.7003322,0.002717845,0.2636129],"study_design_scores_gemma":[0.00202486,0.00030101,0.0002705955,0.001524013,0.001274702,0.000001274637,0.01737997,0.03283921,0.000009540389,0.7554297,0.1861299,0.002815264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00007667553,0.003648576,0.5701232,0.003640145,0.00115634,0.001913856,0.0001413881,0.0002428185,0.419057],"genre_scores_gemma":[0.9653432,0.000395794,0.000375556,0.001079316,0.004905859,0.0001665251,0.0003145895,0.00006089584,0.02735822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9652666,"threshold_uncertainty_score":0.9998662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02582537218966873,"score_gpt":0.2942078118895184,"score_spread":0.2683824396998497,"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."}}