{"id":"W6987153059","doi":"","title":"The settler urban landscape of a British concession: Victoria Park in Tianjin, China","year":2019,"lang":"en","type":"other","venue":"UTS ePRESS (University of Technology Sydney)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Politics; Context (archaeology); Public park; Urban landscape","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":[0.0001144011,0.0001172979,0.0001502853,0.0005177815,0.004995994,0.001440208,0.0003770241,0.0003544458,0.003668638],"category_scores_gemma":[0.0001827168,0.000184528,0.00009190568,0.001916494,0.002067829,0.0005092619,0.001254205,0.0003740065,0.0001197873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004392055,"about_ca_system_score_gemma":0.002802389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3529538,"about_ca_topic_score_gemma":0.7779172,"domain_scores_codex":[0.9998957,0.00002104114,0.000002821904,0.00001900905,0.00002442904,0.00003690293],"domain_scores_gemma":[0.999902,0.0000133735,0.00001401949,0.00000817214,0.0000132525,0.00004917848],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002755869,0.0001322887,0.2063946,0.0007597152,0.00006999168,0.01819187,0.5957182,0.002489269,0.01815503,0.04872112,0.01264132,0.09645099],"study_design_scores_gemma":[0.0000126172,0.0001050745,0.6341466,0.0001282862,0.00002668127,0.002336495,0.233329,0.001075433,0.0006312306,0.001508937,0.1266277,0.00007212198],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.9815399,0.0004603796,0.0001292612,0.0002820895,0.00000869914,0.0000150866,0.00006524909,0.000008113657,0.01749131],"genre_scores_gemma":[0.9897243,0.0002045369,0.0001370695,0.00002914021,0.000002989768,0.000008909947,0.00006888629,0.000005147258,0.009819007],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.3529538,"threshold_uncertainty_score":0.7017987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003668945443718481,"score_gpt":0.186334010703979,"score_spread":0.1826650652602605,"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."}}