{"id":"W2900660406","doi":"10.5539/ijef.v10n12p96","title":"Influential Factors of Residential Commodity Price Changes in Sanya","year":2018,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Gross domestic product; Commodity; Economics; Per capita; Agricultural economics; Price index; Per capita income; Product (mathematics); Producer price index; Price level; Economic growth; Macroeconomics; Market economy; Mid price","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0001840427,0.0001527959,0.0002149851,0.0004306572,0.0004465573,0.0008071701,0.0002300222,0.0002065361,0.002414069],"category_scores_gemma":[0.0007118969,0.0001836822,0.0003267101,0.0012055,0.0003957338,0.0002973957,0.0003893354,0.0004538911,0.0002305999],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007077711,"about_ca_system_score_gemma":0.0005103138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01625645,"about_ca_topic_score_gemma":0.03047621,"domain_scores_codex":[0.9998426,0.00002854076,0.00001276283,0.00004092114,0.00003784056,0.00003737264],"domain_scores_gemma":[0.9995428,0.0001347952,0.0001441633,0.00002612765,0.00008433159,0.00006774708],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001046517,0.00008675482,0.9887561,0.00002603432,0.00008491075,0.0007310071,0.0007009531,0.001314931,0.002119772,0.0006141969,0.0004321806,0.00502845],"study_design_scores_gemma":[0.000002018986,0.0000172231,0.9969265,0.00000288088,0.00001580512,0.0000703992,0.0007108012,0.001405835,0.0001616989,0.0001027005,0.000579625,0.000004468416],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986619,0.00004377843,0.0001008776,0.00003895948,0.000003545611,0.000002663753,0.0000782629,0.000003501567,0.001066503],"genre_scores_gemma":[0.9991452,0.00006812654,0.00007848851,0.000004220472,0.000006918786,0.00000203372,0.0001345416,0.000002500304,0.000558021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01625645,"threshold_uncertainty_score":0.03232366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789359845711259,"score_gpt":0.2363784403528901,"score_spread":0.2084848418957775,"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."}}