{"id":"W6976353791","doi":"10.6068/dp162d1f0fbc474","title":"TREND: Federal Housing Finance Agency. House Price Index: House Price Index - Purchase Only | State: Massachusetts | Seasonally Adjusted: Non-Seasonally Adj, 1991/1 - 2017/4. Data-Planet™ Statistical Datasets by Conquest Systems, Inc. Dataset-ID: 057-001-002","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"Plant Diversity and Evolution","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Underwriting; Index (typography); Loan-to-value ratio; Quarter (Canadian coin); Mortgage insurance; 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":[0.0009029851,0.001769013,0.001385536,0.0034951,0.0009060511,0.002071758,0.002587524,0.001267894,0.08645416],"category_scores_gemma":[0.007053558,0.0007536397,0.001068186,0.007842413,0.0003084233,0.002335849,0.001460113,0.002300528,0.1581025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001844412,"about_ca_system_score_gemma":0.002486368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07238101,"about_ca_topic_score_gemma":0.09713534,"domain_scores_codex":[0.9988195,0.0001382098,0.0001432897,0.0003793331,0.0003737714,0.0001459337],"domain_scores_gemma":[0.9954738,0.0004551032,0.0006619149,0.0006805666,0.002427158,0.0003013754],"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":[0.00001773639,0.000009892808,0.001057353,0.0001081287,0.00001129184,0.000005482278,0.000007253632,0.00006686059,0.00001785587,0.0001665099,0.9972126,0.001319064],"study_design_scores_gemma":[0.0001306714,0.00002127428,0.01407661,0.0002193943,0.00002367087,0.00003037626,0.0001262741,0.0004429281,0.0001610204,0.0006815489,0.9840599,0.00002635695],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001196545,0.00002655614,0.00003666975,0.00005755958,0.00002556289,0.000009391766,0.9989951,0.00009581711,0.0006336396],"genre_scores_gemma":[0.0003656486,0.00002845885,0.0001065772,0.00003295845,0.00001777464,0.00006400397,0.9983375,0.00003015803,0.001016892],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.08645416,"threshold_uncertainty_score":0.2892179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02800489682695513,"score_gpt":0.235279855437246,"score_spread":0.2072749586102909,"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."}}