{"id":"W6957745084","doi":"10.6068/dp15b5a517f3a69","title":"TREND: Federal Housing Finance Agency. House Price Index: House Price Index - All Transactions | State: Alabama | Metropolitan Statistical Area: 1222 | Metropolitan Statistical Area: Auburn-Opelika, AL, 1987/4 - 2016/1. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 057-001-001","year":2017,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underwriting; Metropolitan area; Mortgage insurance; Quarter (Canadian coin); Index (typography); House price; Securitization; Mortgage underwriting","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":[0.0009198806,0.001635415,0.00129703,0.003609808,0.0009279339,0.00220519,0.002302335,0.001063456,0.1027655],"category_scores_gemma":[0.00652189,0.0007227871,0.0008844525,0.009081428,0.0002793009,0.002338564,0.001420849,0.002325226,0.1826187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002101648,"about_ca_system_score_gemma":0.002998362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08776057,"about_ca_topic_score_gemma":0.1038474,"domain_scores_codex":[0.998806,0.0001269938,0.000143012,0.0003541945,0.0004259895,0.0001438481],"domain_scores_gemma":[0.9952643,0.000415459,0.0005364308,0.000640281,0.002832676,0.0003109635],"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":[0.00001473484,0.0000103353,0.0009993624,0.00007829762,0.000007332173,0.000003734326,0.000006820937,0.00005827575,0.00001297017,0.0001951607,0.997027,0.001586122],"study_design_scores_gemma":[0.00009640766,0.00001519915,0.0117642,0.0001644157,0.00001337202,0.00001763633,0.000117007,0.000356728,0.0001331938,0.0006639998,0.9866372,0.00002046369],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001146195,0.00001854101,0.00004406286,0.0000550002,0.00002218468,0.0000124188,0.9986997,0.0001015795,0.0009318918],"genre_scores_gemma":[0.0003653103,0.00002939079,0.0001370998,0.00003635431,0.00001384193,0.00009164119,0.9977735,0.00004148412,0.001511368],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1027655,"threshold_uncertainty_score":0.3437849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03477127289923428,"score_gpt":0.3032082805577122,"score_spread":0.2684370076584779,"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."}}