{"id":"W2283739521","doi":"10.14288/1.0096372","title":"A method by which to forecast house prices at the community level : a case study","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Econometrics; Economics","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":[0.005110279,0.000594374,0.0004394963,0.002905583,0.001647691,0.002610633,0.001708369,0.0022647,0.003031338],"category_scores_gemma":[0.01262526,0.0004287871,0.0008871505,0.003730797,0.0010467,0.003016307,0.001912457,0.001345277,0.0005258514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001849155,"about_ca_system_score_gemma":0.001834562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03771256,"about_ca_topic_score_gemma":0.04892965,"domain_scores_codex":[0.9961482,0.002700281,0.0001566599,0.0002842838,0.0005533008,0.0001573349],"domain_scores_gemma":[0.9924374,0.005629066,0.00027819,0.0006886272,0.000780453,0.0001863029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007517394,0.002596943,0.1519002,0.0008712233,0.0002580977,0.008658791,0.02594913,0.1949695,0.007155106,0.139153,0.01631132,0.451425],"study_design_scores_gemma":[0.0003434688,0.001004926,0.0186602,0.0003743878,0.0001732781,0.002915397,0.02759279,0.8597767,0.008094813,0.03072436,0.05010324,0.0002365237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3903141,0.0007153651,0.5560977,0.002883303,0.0001772407,0.00267714,0.001661987,0.000504948,0.04496821],"genre_scores_gemma":[0.4254469,0.000535227,0.5674534,0.0001262351,0.00003214282,0.001088718,0.0004673469,0.00005628988,0.004793763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03771256,"threshold_uncertainty_score":0.07498604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03610127862047177,"score_gpt":0.2090043355508709,"score_spread":0.1729030569303991,"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."}}