{"id":"W6957744379","doi":"10.6068/dp158e598290084","title":"TREND: Federal Housing Finance Agency. House Price Index: House Price Index - All Transactions, 1980/1 - 2016/1. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 057-001-001","year":2016,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underwriting; Mortgage insurance; Mortgage underwriting; Loan-to-value ratio; Securitization; Index (typography); Shared appreciation mortgage; Quarter (Canadian coin); Loan","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":[0.0009691922,0.001793553,0.001391426,0.004596428,0.0009065623,0.002200605,0.002389389,0.001203853,0.08692484],"category_scores_gemma":[0.006603233,0.0008306638,0.0009331862,0.01026642,0.0003479653,0.002306323,0.001465644,0.002529093,0.185232],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002387342,"about_ca_system_score_gemma":0.003132298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06974973,"about_ca_topic_score_gemma":0.07828972,"domain_scores_codex":[0.9984017,0.0001381003,0.0001955359,0.0004045466,0.0006607611,0.0001993349],"domain_scores_gemma":[0.9945917,0.0004148943,0.0007431658,0.0006810723,0.003223803,0.000345411],"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":[0.00001732779,0.00001188999,0.001058887,0.0001056,0.000008191653,0.000005168097,0.000006714446,0.00006489442,0.00001837336,0.0001898932,0.9969282,0.001584996],"study_design_scores_gemma":[0.000109245,0.00001864977,0.01517058,0.0001852419,0.00001534835,0.0000227188,0.0001045041,0.0002605962,0.0001779496,0.0005533436,0.9833596,0.00002223091],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000110954,0.00002104644,0.00003004638,0.0000383275,0.00001946788,0.00001153894,0.9989125,0.00007252466,0.0007836291],"genre_scores_gemma":[0.0003118046,0.00003003831,0.0001028418,0.00002504265,0.00001417208,0.00007868023,0.9982121,0.00002777412,0.001197657],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08692484,"threshold_uncertainty_score":0.2907925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267994497606185,"score_gpt":0.2797645133354165,"score_spread":0.252965063574798,"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."}}