{"id":"W6987400292","doi":"","title":"The subterranean social platform : generating underground complex in urban Tsim Sha Tsui","year":2016,"lang":"en","type":"other","venue":"The HKU Scholars Hub (University of Hong Kong)","topic":"Diverse Cultural and Historical Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Plan (archaeology); Purchasing; Service (business); Master plan; Diversity (politics); Local government","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":[0.0001305205,0.0002833369,0.00013772,0.0006290765,0.003617352,0.0009221551,0.0006014695,0.0004370344,0.004452778],"category_scores_gemma":[0.0001854123,0.0001674666,0.0002343266,0.0009490675,0.001101474,0.0007640881,0.001527506,0.0003695731,0.0003409303],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001900198,"about_ca_system_score_gemma":0.002219121,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1031254,"about_ca_topic_score_gemma":0.2933817,"domain_scores_codex":[0.9998573,0.00003276003,0.000003061804,0.00002025866,0.00001756834,0.00006904283],"domain_scores_gemma":[0.9998658,0.00001371412,0.00001308445,0.000006113854,0.00002099849,0.00008026211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003218483,0.0009628264,0.4897556,0.0005689812,0.00007103666,0.04305454,0.3275496,0.00449462,0.01220685,0.02544637,0.02561543,0.06995226],"study_design_scores_gemma":[0.00002050082,0.0002563095,0.287488,0.00009798936,0.00005616472,0.0009416254,0.6664107,0.01128743,0.001293482,0.001816478,0.03026714,0.00006423132],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959517,0.00003376779,0.0002909632,0.0001812508,0.00001073485,0.00002571894,0.0000679404,0.00001768735,0.00342031],"genre_scores_gemma":[0.9960142,0.00005123659,0.0004018073,0.00003091513,0.000004457903,0.00002215031,0.0001067038,0.000007954252,0.003360538],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1031254,"threshold_uncertainty_score":0.2050502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07410891626941732,"score_gpt":0.2684633255610684,"score_spread":0.1943544092916511,"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."}}