{"id":"W924162019","doi":"","title":"DETERMINANTS OF RETURNS TO HOMEOWNERSHIP: COUNTY LEVEL ANALYSIS FROM 1999 TO 2009","year":2014,"lang":"en","type":"article","venue":"Journal of economics and economic education research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Crash; Quarter (Canadian coin); Demographic economics; Economics; Population; Socioeconomic status; Index (typography); Geography; Demography; Sociology","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":[0.00480954,0.000197685,0.001066929,0.00213046,0.0001341762,0.0002418745,0.0005909252,0.0001531345,0.0003716292],"category_scores_gemma":[0.0003876086,0.0002325795,0.0002497713,0.0003402318,0.00009011892,0.0003953252,0.0001512294,0.0002734849,0.0002548582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005225482,"about_ca_system_score_gemma":0.0003688434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002702522,"about_ca_topic_score_gemma":0.003023204,"domain_scores_codex":[0.9971655,0.00006964929,0.001791544,0.0004914329,0.00003831115,0.0004435749],"domain_scores_gemma":[0.9973411,0.0004079357,0.0009945281,0.0005379106,0.0001806417,0.0005379074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004558651,0.0004104167,0.878116,0.00006850357,0.0008393671,0.000001118415,0.003452448,0.01141731,0.00005543571,0.04849483,0.01566269,0.04102607],"study_design_scores_gemma":[0.001900165,0.00111383,0.5206031,0.0001414562,0.0001951813,0.00002216431,0.003791555,0.03658678,0.0007222048,0.1093682,0.3242069,0.001348445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9880227,0.0002984885,0.0002056083,0.001613141,0.0009899182,0.0001890044,0.0003186273,0.000003496768,0.008358942],"genre_scores_gemma":[0.9940755,0.001569745,0.002852963,0.0003329259,0.0006267115,0.000011201,0.00001270334,0.0000334336,0.0004848232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3575128,"threshold_uncertainty_score":0.9484316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1009385869385611,"score_gpt":0.3334818655576828,"score_spread":0.2325432786191217,"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."}}