{"id":"W6965790073","doi":"10.3886/e185225","title":"Data and Code for: Dynamism Diminished: The Role of Housing Markets and Credit Conditions","year":2023,"lang":"en","type":"dataset","venue":"ICPSR Data Holdings","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Booth University College","funders":"","keywords":"Dynamism; Collateral; Market liquidity; Work (physics); House price; Transmission channel; Code (set theory)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007039201,0.001203806,0.0007763311,0.002517243,0.0004894804,0.001943125,0.001702142,0.001696722,0.07745719],"category_scores_gemma":[0.004861667,0.000555319,0.0007955218,0.004717657,0.0003408377,0.001034938,0.001483447,0.001530295,0.08776715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100134,"about_ca_system_score_gemma":0.001292798,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05090799,"about_ca_topic_score_gemma":0.07476539,"domain_scores_codex":[0.9993479,0.00009921211,0.00009205737,0.0001720235,0.0001675375,0.0001212775],"domain_scores_gemma":[0.9977922,0.0004590145,0.0004931844,0.0004621582,0.0005929517,0.0002004925],"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":[0.00004619157,0.00002792317,0.003704048,0.0002948311,0.00002041011,0.00002573463,0.00003710171,0.0003721067,0.00007582852,0.0005399263,0.9927865,0.002069528],"study_design_scores_gemma":[0.0003077516,0.00002278505,0.02424944,0.0002407784,0.00002145771,0.00007313904,0.0002114145,0.0009974552,0.0003574975,0.001171399,0.9723063,0.0000406254],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.000286831,0.00002293757,0.00005921193,0.00005809802,0.00001168798,0.000009102006,0.9988096,0.0001489066,0.0005936825],"genre_scores_gemma":[0.0009974031,0.00002925258,0.0002988194,0.00004321268,0.000008487581,0.00007881891,0.9972535,0.00006565957,0.001224795],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.07745719,"threshold_uncertainty_score":0.2591201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06752185350274861,"score_gpt":0.3406600613454873,"score_spread":0.2731382078427387,"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."}}