{"id":"W1895392821","doi":"10.5539/ass.v11n24p224","title":"The Secondary Mortgage Market in the USA: Features and Structure","year":2015,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Secondary mortgage market; Secondary market; Security market; Work (physics); Mortgage insurance; Business; Commercial mortgage-backed security; Market structure; Collateralized mortgage obligation; Shared appreciation mortgage; Financial system; Economics; Actuarial science; Finance; Physics; Industrial organization","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002110494,0.00006854565,0.0001861088,0.001671112,0.0004050995,0.001285411,0.0002395073,0.0002588834,0.003372105],"category_scores_gemma":[0.00115672,0.00009030294,0.0001342224,0.002274339,0.0004406037,0.0007626096,0.0004502394,0.0004697058,0.0003157278],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007213081,"about_ca_system_score_gemma":0.0005451615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02858606,"about_ca_topic_score_gemma":0.06687675,"domain_scores_codex":[0.9998499,0.00002816502,0.000008500983,0.0000267952,0.00004945453,0.00003715705],"domain_scores_gemma":[0.9986681,0.0002479522,0.0005597621,0.00002598647,0.0003032477,0.0001950049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001587432,0.0001951752,0.9436312,0.00005153234,0.00004383967,0.0006807881,0.002128831,0.0007900715,0.001637968,0.01647896,0.006845502,0.02735729],"study_design_scores_gemma":[0.000004274089,0.00004444703,0.9898242,0.00001199016,0.000006483366,0.0002054822,0.001265124,0.002092474,0.0001840359,0.001357333,0.004996306,0.000007712137],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9889816,0.0002825601,0.0002952511,0.000508753,0.000006222832,0.00001153537,0.001024255,0.00001210163,0.008877834],"genre_scores_gemma":[0.997654,0.0001660555,0.0001353918,0.00003229291,0.00001135719,0.000005282584,0.0006672718,0.000003008008,0.001325415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02858606,"threshold_uncertainty_score":0.05683935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133546860690866,"score_gpt":0.234863197697735,"score_spread":0.2135277290908263,"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."}}