{"id":"W4308763977","doi":"10.3390/buildings12111833","title":"Exploring Tourists’ Multilevel Spatial Cognition of Historical Town Based on Multi-Source Data—A Case Study of Feng Jing Ancient Town in Shanghai","year":2022,"lang":"en","type":"article","venue":"Buildings","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Shanghai Office of Philosophy and Social Science","keywords":"Tourism; Cognition; Spatial cognition; Perception; Dimension (graph theory); Geography; Cognitive map; Spatial analysis; Space (punctuation); Computer science; Psychology; Archaeology","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":[0.0006835216,0.0003073982,0.0002679062,0.001846452,0.00238538,0.001676384,0.0005784233,0.0004530585,0.001948255],"category_scores_gemma":[0.001242052,0.0002239468,0.0004185606,0.002945745,0.001538129,0.001062138,0.001357117,0.000562707,0.0001518917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002862598,"about_ca_system_score_gemma":0.001463492,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1573737,"about_ca_topic_score_gemma":0.347973,"domain_scores_codex":[0.9995566,0.0001805336,0.00001901393,0.00006886072,0.00007225121,0.0001027086],"domain_scores_gemma":[0.9989839,0.0004681216,0.0001268836,0.0001103269,0.0001557124,0.0001549693],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001738434,0.0001372341,0.3526761,0.0004837986,0.0001436917,0.01650285,0.5869446,0.001487837,0.004434505,0.002089329,0.002114772,0.03281151],"study_design_scores_gemma":[0.000006226748,0.00007452829,0.3452749,0.00008990565,0.00007231435,0.0007138739,0.6440667,0.001896444,0.0005674598,0.0003505533,0.006843021,0.00004401948],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998183,0.00006632572,0.0002532458,0.0001200821,0.000002625957,0.00001456919,0.0001367749,0.000006678606,0.001216674],"genre_scores_gemma":[0.9985878,0.00009577531,0.0005625405,0.00001836107,0.000002317571,0.00001269487,0.000142462,0.000004535387,0.0005734907],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1573737,"threshold_uncertainty_score":0.3129154,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.27509867771866,"score_gpt":0.369099092720425,"score_spread":0.09400041500176498,"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."}}