{"id":"W4390477216","doi":"10.1016/j.frl.2023.104966","title":"What is behind housing sentiment?","year":2024,"lang":"en","type":"article","venue":"Finance research letters","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"House price; Relation (database); Economics; Advertising; Political science; Business; Monetary economics; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002053689,0.0001698741,0.0002901536,0.000588915,0.00026946,0.001589754,0.0003569901,0.0001035467,0.0008268155],"category_scores_gemma":[0.00004342004,0.0002083387,0.0001536281,0.0004360476,0.000185128,0.001414114,0.0001623535,0.0005388394,0.005615161],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003633994,"about_ca_system_score_gemma":0.00004449952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001722467,"about_ca_topic_score_gemma":0.00001716389,"domain_scores_codex":[0.9978428,0.00003488386,0.0004495227,0.0007280307,0.00009877349,0.0008459893],"domain_scores_gemma":[0.9992057,0.0001398831,0.0000643825,0.0004777966,0.00002596934,0.00008625799],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008354201,0.0002037738,0.01507121,0.0006502217,0.0003114939,0.0005924332,0.009742611,0.0005084761,0.001861691,0.08912367,0.7209452,0.1609057],"study_design_scores_gemma":[0.000200279,0.00003319639,0.001030368,0.0002451435,0.000002799325,0.000006735858,0.0001163648,0.009019339,0.000605918,0.01130771,0.9770803,0.0003518253],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8899469,0.0119064,0.001114398,0.04594332,0.004079945,0.0003927325,0.00007365202,0.0001763339,0.04636635],"genre_scores_gemma":[0.9784312,0.01316982,0.0005952526,0.001862194,0.0006846339,0.00004567613,0.00001754063,0.000089811,0.005103838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2561351,"threshold_uncertainty_score":0.9994467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0731090743838624,"score_gpt":0.3068120228977895,"score_spread":0.2337029485139271,"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."}}