{"id":"W6938952358","doi":"10.6068/dp159fba3e1473","title":"RANKING: Federal Housing Finance Agency. House Price Index: House Price Index - Purchase Only | Seasonally Adjusted: Non-Seasonally Adj, 2016/1. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 057-001-002","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; Index (typography); Loan-to-value ratio; Mortgage insurance; Quarter (Canadian coin); Securitization; Mortgage underwriting; House price","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":[0.001122566,0.001853717,0.001500309,0.004040126,0.0009406355,0.002436661,0.002252394,0.001186565,0.1082556],"category_scores_gemma":[0.00813994,0.0006887643,0.00098304,0.008327115,0.0003431495,0.002292237,0.001602196,0.002254861,0.2067541],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002166456,"about_ca_system_score_gemma":0.002835719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06081314,"about_ca_topic_score_gemma":0.07806572,"domain_scores_codex":[0.9982815,0.0001786758,0.0002182527,0.0004815333,0.00064663,0.0001934471],"domain_scores_gemma":[0.9944337,0.0005482438,0.0006385997,0.0007788103,0.003238144,0.0003624233],"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":[0.00001823959,0.00001011043,0.0009160177,0.0001086255,0.00000859943,0.000004603536,0.000004924857,0.00006616954,0.00001674802,0.0001918942,0.9966325,0.002021608],"study_design_scores_gemma":[0.0001169194,0.00002198103,0.01176138,0.0001980126,0.00001379449,0.00002296888,0.00009065884,0.0003769625,0.0001568857,0.0007268231,0.9864906,0.00002297117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00008596343,0.00002226828,0.00003916403,0.00004838123,0.00002231859,0.00001131006,0.9988105,0.00008913789,0.0008708735],"genre_scores_gemma":[0.0003299125,0.00003179187,0.0001306212,0.00003458045,0.00001606699,0.00007152504,0.9980684,0.00003387217,0.001283163],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1082556,"threshold_uncertainty_score":0.362151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02972531282588145,"score_gpt":0.279496153624597,"score_spread":0.2497708407987155,"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."}}