{"id":"W2933066048","doi":"","title":"The Distribution of Mortgage Rates | Bulletin – March Quarter 2018","year":2018,"lang":"en","type":"article","venue":"Philadelphia Museum of Art Bulletin","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Distribution (mathematics); Business; History; Mathematics","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":[0.0003325913,0.0004170058,0.0002223281,0.002544752,0.0007387485,0.001989271,0.0003614062,0.000627633,0.04400236],"category_scores_gemma":[0.002338887,0.0003423566,0.0001614744,0.003660252,0.0002078252,0.0009663532,0.0004309702,0.00102688,0.02334183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001475941,"about_ca_system_score_gemma":0.0009141476,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03316491,"about_ca_topic_score_gemma":0.05883376,"domain_scores_codex":[0.9997153,0.00002499338,0.00002548516,0.00004843295,0.000138621,0.0000472277],"domain_scores_gemma":[0.9989046,0.0001135336,0.0002522486,0.00005982002,0.0005585193,0.00011131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00009841852,0.00003416142,0.01426907,0.00004763649,0.000007450471,0.0000470334,0.00009973746,0.00007935771,0.0002502433,0.0007998145,0.9549592,0.02930788],"study_design_scores_gemma":[0.00001964983,0.00002822172,0.1874809,0.00006291292,0.000007292743,0.00008969718,0.0002237351,0.000272824,0.0005544443,0.0002086946,0.8110394,0.0000122892],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1374812,0.009583591,0.001174733,0.03134049,0.007883553,0.0001959993,0.3482186,0.002441732,0.46168],"genre_scores_gemma":[0.2185798,0.006784507,0.0008223142,0.001144086,0.003139415,0.0002461035,0.1236546,0.000670518,0.6449586],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04400236,"threshold_uncertainty_score":0.1472026,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02294596237436792,"score_gpt":0.289283421506044,"score_spread":0.2663374591316761,"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."}}