{"id":"W4385932489","doi":"10.32920/23979072.v1","title":"\"Chinatown Forever Changing\": Jim Wong-Chu's Pender East","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Chinatown; Art; Art history; Cartography; History; Geography; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004661053,0.0003500177,0.0001958896,0.000668179,0.02073012,0.003403117,0.0004846992,0.0004773051,0.006283483],"category_scores_gemma":[0.000483749,0.0001502479,0.0001445558,0.001683241,0.005200522,0.0009624857,0.00135791,0.001731496,0.0004001458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02659779,"about_ca_system_score_gemma":0.02573707,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9431822,"about_ca_topic_score_gemma":0.9832086,"domain_scores_codex":[0.9996069,0.0000330675,0.000003420003,0.00004003343,0.0000751457,0.00024133],"domain_scores_gemma":[0.9997398,0.00002204519,0.00001366609,0.00001210005,0.00007034712,0.0001420276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001589792,0.00003941092,0.01444575,0.0001831608,0.00001986386,0.002701861,0.6147876,0.0002327266,0.003390235,0.1289338,0.1835624,0.05154414],"study_design_scores_gemma":[0.000004420941,0.00002051204,0.02876007,0.0001026071,0.00002259055,0.0003044966,0.2715495,0.0001106335,0.0008162512,0.0009468165,0.6973287,0.00003345602],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5897028,0.00514471,0.0004890469,0.02437641,0.001117607,0.0000555104,0.0003087503,0.00008591226,0.3787192],"genre_scores_gemma":[0.8783349,0.001710766,0.0002591624,0.001693312,0.00004961139,0.00001109999,0.00009430115,0.00004822599,0.1177985],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05681777,"threshold_uncertainty_score":0.1929814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07045313442353181,"score_gpt":0.3129146996468383,"score_spread":0.2424615652233065,"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."}}