{"id":"W3122982071","doi":"","title":"ASSET MELTDOWN - FACT OR FICTION?","year":2006,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Treasury; Real estate; Asset (computer security); Bond; Real estate investment trust; Economics; Variety (cybernetics); Financial economics; Business; Finance; Geography","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":[0.00161056,0.0002055071,0.0005152183,0.001089843,0.0004361566,0.001916876,0.0005108772,0.001225421,0.005694913],"category_scores_gemma":[0.01717884,0.000132628,0.0003777472,0.001844453,0.002742335,0.004943098,0.0008852792,0.001958635,0.0005336376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000928556,"about_ca_system_score_gemma":0.0003680854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001995121,"about_ca_topic_score_gemma":0.001611498,"domain_scores_codex":[0.9994804,0.0001230838,0.00003002839,0.0001447386,0.0001497159,0.0000719521],"domain_scores_gemma":[0.9846827,0.008759744,0.004924678,0.0008065122,0.0004812438,0.0003450838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005454386,0.0001803193,0.4675587,0.0007416027,0.0005998182,0.00372495,0.005745819,0.008206706,0.001015547,0.2834521,0.03343535,0.1947938],"study_design_scores_gemma":[0.0000515457,0.0002870124,0.412695,0.0009675951,0.0003204954,0.005104585,0.00785877,0.01607917,0.002232358,0.4033261,0.1509222,0.0001551853],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8772362,0.02401621,0.01194719,0.05746175,0.0009174774,0.00002215841,0.001143406,0.0001281458,0.02712751],"genre_scores_gemma":[0.9892971,0.005973814,0.0004768875,0.001670001,0.0008255911,0.000003618804,0.0002613088,0.00002006653,0.001471644],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005694913,"threshold_uncertainty_score":0.01905143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05832412935104137,"score_gpt":0.3028464178153236,"score_spread":0.2445222884642822,"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."}}