{"id":"W2380208035","doi":"","title":"Further Discussion on the Relationship between House Prices and Land Prices——Comparative Empirical Research Based on the Data of Jinan and Qingdao","year":2010,"lang":"en","type":"article","venue":"Journal of Qingdao Technical College","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); House price; Land price; Agricultural economics; Economics; Econometrics; Empirical research; Economy; Geography; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.006990928,0.0001398737,0.0004420168,0.0003042273,0.0003629926,0.000116815,0.0006886648,0.0001689861,0.0000381617],"category_scores_gemma":[0.002482605,0.00007280417,0.00006872015,0.0003540323,0.0004216934,0.0002220498,0.0002393986,0.001295675,0.00001117336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004857412,"about_ca_system_score_gemma":0.00006890563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001622137,"about_ca_topic_score_gemma":0.00006557684,"domain_scores_codex":[0.9984685,0.0001278671,0.0007467089,0.0002873187,0.0001433421,0.0002263243],"domain_scores_gemma":[0.9935618,0.004973075,0.0006563603,0.0006350398,0.00006753729,0.0001061777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003742371,0.0002634776,0.9145389,0.00003558553,0.00004976836,0.00000573462,0.0005618767,0.00002614237,0.00006859773,0.07524765,0.008326347,0.0005016744],"study_design_scores_gemma":[0.0009412403,0.0007728771,0.9179316,0.0001786909,0.00002816408,0.00001534616,0.0003675757,0.003574,0.0001047688,0.04930637,0.02653195,0.000247419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653326,0.00006759493,0.0001650351,0.0277383,0.00009868098,0.0002833437,0.00009003686,0.00001234128,0.006212106],"genre_scores_gemma":[0.9987261,0.00003654357,0.000845356,0.0001396563,0.0001728951,0.00000468643,0.000001802256,0.00002163753,0.00005129139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03339358,"threshold_uncertainty_score":0.5629136,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3543802054766074,"score_gpt":0.3934004546118395,"score_spread":0.03902024913523211,"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."}}