{"id":"W4398615294","doi":"10.7910/dvn/nzbqx5","title":"Lending to Households in Europe (1995-2021): ECRI Statistical Package 2022","year":2023,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Housing, Finance, and Neoliberalism","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009169211,0.0005523552,0.001122833,0.0009460535,0.0001495729,0.0002608023,0.001103945,0.0003902355,0.009930314],"category_scores_gemma":[0.0004032537,0.0007121474,0.0001206888,0.001384023,0.00009623556,0.0003721599,0.0008725175,0.000854258,0.5516289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073562,"about_ca_system_score_gemma":0.0001065223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005579405,"about_ca_topic_score_gemma":0.00194916,"domain_scores_codex":[0.9962147,0.00007300827,0.001194785,0.001406376,0.0001556934,0.0009554099],"domain_scores_gemma":[0.9972469,0.0001640854,0.000428768,0.001816835,0.00003762491,0.0003057798],"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":[0.0000374562,0.0001066606,0.0002057271,0.0001175167,0.00004316948,0.001183526,0.00009449326,0.00002702133,0.000002758535,0.006558929,0.9914097,0.0002130936],"study_design_scores_gemma":[0.0006150305,0.0000794013,0.001916816,0.0001274149,0.00002160658,0.000009851656,0.00002296688,0.00004986301,0.000003627532,0.0001516843,0.9961973,0.000804406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0004454712,0.00001278937,0.0004564691,0.00003825741,0.00274571,0.0004220663,0.9933442,0.00008584346,0.00244916],"genre_scores_gemma":[0.0002096979,0.003341996,0.0005350247,0.0008912196,0.0005889013,0.00007107024,0.9911149,0.0001547631,0.00309249],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.5416986,"threshold_uncertainty_score":0.9995329,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03870551353158892,"score_gpt":0.2465973590405416,"score_spread":0.2078918455089527,"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."}}