{"id":"W2596139613","doi":"","title":"Is the Real Estate Industry Squeezing out the Manufacturing Industry?-The China Experience","year":2016,"lang":"en","type":"article","venue":"International management review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Real estate; China; Manufacturing; Business; Stock exchange; Economy; Commerce; Finance; Market economy; Economics; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001046559,0.0001580605,0.0001944725,0.00005355902,0.0002199956,0.0001787341,0.001110099,0.00008287806,0.001472638],"category_scores_gemma":[0.00005576551,0.00007908387,0.0001337397,0.00007209503,0.0001045062,0.0002562691,0.00034353,0.0003519887,0.0007018293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001527431,"about_ca_system_score_gemma":0.000006598306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001707484,"about_ca_topic_score_gemma":0.00002366199,"domain_scores_codex":[0.9987878,0.00003021664,0.0005530278,0.000318031,0.00007630679,0.0002345715],"domain_scores_gemma":[0.9989343,0.0000840397,0.0003810381,0.0005516673,0.00001387936,0.00003504217],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000126732,0.00004936461,0.03079027,0.0002458526,0.0003761614,0.00001322928,0.001578113,0.00003381889,0.000001502534,0.0952446,0.03277835,0.8388761],"study_design_scores_gemma":[0.0001343391,0.000004846659,0.02282988,0.0004596654,0.00001442143,0.000003515973,0.0001058373,0.0001388382,0.00001799543,0.003338024,0.9728055,0.0001471155],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.09753787,0.001484914,0.000549813,0.112108,0.001797504,0.0007263342,0.00003509181,0.00004751547,0.7857129],"genre_scores_gemma":[0.7409307,0.2407694,0.0000597354,0.005471458,0.0003386724,0.0001747719,0.000003686822,0.00002613669,0.01222543],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9400272,"threshold_uncertainty_score":0.9994401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0476837702709547,"score_gpt":0.2770185885535602,"score_spread":0.2293348182826054,"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."}}