{"id":"W2890858121","doi":"10.1111/grow.12254","title":"Home maintenance expenditures and income fluctuations","year":2018,"lang":"en","type":"article","venue":"Growth and Change","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Earnings; Consumption smoothing; Economics; Consumption (sociology); Labour economics; Demographic economics; Finance; Business cycle; Macroeconomics","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":[0.0003253822,0.0001327001,0.0001461058,0.0004405985,0.0001443682,0.0005963831,0.0001798364,0.0002187829,0.00365227],"category_scores_gemma":[0.00297527,0.00008101683,0.000152635,0.0006130274,0.0002660895,0.0003040933,0.0002796241,0.0003395301,0.0002945951],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003889832,"about_ca_system_score_gemma":0.0001182604,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005530594,"about_ca_topic_score_gemma":0.003722762,"domain_scores_codex":[0.9998553,0.00003497532,0.00001023929,0.00002827346,0.00002497848,0.00004619332],"domain_scores_gemma":[0.9971103,0.0008716807,0.001538617,0.0001258397,0.0001330327,0.0002205558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002467164,0.0001042325,0.9831005,0.0000132304,0.00007539956,0.0001285857,0.000172072,0.00349738,0.0005665034,0.002092588,0.0004500716,0.009552788],"study_design_scores_gemma":[0.000003503249,0.00004055909,0.9954427,0.00000566133,0.00001376224,0.00004634282,0.0002254275,0.00254592,0.000205839,0.0009527829,0.000513919,0.000003464255],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979708,0.0001093925,0.0002113508,0.00009428756,0.000002042322,0.000003376023,0.0002241262,0.000004817531,0.001379931],"genre_scores_gemma":[0.9993514,0.00003486557,0.00004167688,0.000005341788,0.00000356271,0.000001385829,0.0001560361,9.465809e-7,0.0004047052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005530594,"threshold_uncertainty_score":0.01221806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03248825104709491,"score_gpt":0.2128106122348758,"score_spread":0.1803223611877809,"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."}}