{"id":"W7065103726","doi":"","title":"Do bank loans and local amenities explain Chinese urban house prices?","year":2015,"lang":"en","type":"article","venue":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Work (physics); Real estate; Payment; Debt; Metropolitan area; Government (linguistics); China; Quarter (Canadian coin)","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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003338156,0.0001123923,0.0001616593,0.0003280767,0.0004899254,0.00005877366,0.0005329718,0.0000476055,0.00185036],"category_scores_gemma":[0.00002901941,0.00009224068,0.00002195504,0.001050863,0.004586035,0.0001383545,0.0005679381,0.0001896892,0.00001376039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002005661,"about_ca_system_score_gemma":0.000230831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006534052,"about_ca_topic_score_gemma":0.0002046573,"domain_scores_codex":[0.9989525,0.00001602128,0.00009408107,0.0002817106,0.0003916187,0.0002640722],"domain_scores_gemma":[0.9992843,0.00003573016,0.00007712204,0.0002488487,0.0002386405,0.0001153156],"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":[0.00009476853,0.0001978666,0.1216845,0.00002387529,0.00003856429,0.00004445624,0.006325669,0.000003950237,0.00272804,0.06737096,0.01186555,0.7896218],"study_design_scores_gemma":[0.005646086,0.001268933,0.08559277,0.0001679022,0.0001209406,0.00002368709,0.3914831,0.002015446,0.004626165,0.01034379,0.4975582,0.001153006],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9646528,0.00005906278,0.0008304174,0.0024755,0.00006257441,0.0002087911,0.000008671297,0.00004840858,0.03165371],"genre_scores_gemma":[0.9977072,0.00002232933,0.0003060834,0.00001088153,0.0001041964,6.604968e-7,9.856462e-7,0.000004346685,0.001843358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7884688,"threshold_uncertainty_score":0.9990621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008869023771141453,"score_gpt":0.208389592281981,"score_spread":0.1995205685108395,"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."}}