{"id":"W4401493616","doi":"10.1093/rof/rfae025","title":"Cash is king? Understanding financing risk in housing markets","year":2024,"lang":"en","type":"article","venue":"European Finance Review","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; National Science Foundation","keywords":"Cash; Business; Finance; Financial system; Economics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.001275359,0.0002521774,0.0005603178,0.001137821,0.0003281282,0.002516908,0.0004594408,0.0009367749,0.004077816],"category_scores_gemma":[0.006378331,0.0002264648,0.0003372216,0.0009149074,0.001231267,0.005150372,0.0007632675,0.0008827927,0.0001953241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001140026,"about_ca_system_score_gemma":0.0005102793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004359026,"about_ca_topic_score_gemma":0.00274484,"domain_scores_codex":[0.9997792,0.00008521822,0.00001259312,0.00003101196,0.0000432791,0.00004870991],"domain_scores_gemma":[0.9969318,0.00183206,0.0008383841,0.00006415047,0.0001546766,0.0001787885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0002583722,0.00016267,0.09161843,0.0005480431,0.0001762276,0.0009252444,0.001603762,0.0689541,0.0006527311,0.7484888,0.006821869,0.07978969],"study_design_scores_gemma":[0.00003880411,0.0001171368,0.07106057,0.0004422623,0.00009201394,0.0002918683,0.002019678,0.1307414,0.000292716,0.7817156,0.01312658,0.00006136738],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8894598,0.04712935,0.02281843,0.01224213,0.0001069683,0.00003598701,0.0003256785,0.00004577717,0.02783581],"genre_scores_gemma":[0.9927254,0.005709141,0.0005203309,0.00007164187,0.0001127925,0.000004293658,0.00004158193,0.000003869995,0.0008109739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004359026,"threshold_uncertainty_score":0.01364166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06237691438919228,"score_gpt":0.2410374600191603,"score_spread":0.178660545629968,"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."}}