{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001397474,0.00009586463,0.0001785318,0.0001196437,0.0001540013,0.00007132869,0.00007091558,0.0000629748,0.0001551817],"category_scores_gemma":[0.00002565034,0.0001050693,0.00002250118,0.00005247214,0.0001297939,0.0002222584,0.00006192381,0.00005381187,0.0001284616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001447162,"about_ca_system_score_gemma":0.000003213915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001896358,"about_ca_topic_score_gemma":0.00008937337,"domain_scores_codex":[0.99935,0.000004350863,0.000181062,0.0002422021,0.00001077449,0.0002115984],"domain_scores_gemma":[0.9996795,0.00001932982,0.00008072683,0.0001225475,0.000009551287,0.00008832211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005878064,0.00005502817,0.5220025,0.0001330262,0.00005676121,0.000007004506,0.008058673,7.432897e-8,0.00005507196,0.4471051,0.002873119,0.01959483],"study_design_scores_gemma":[0.0009678158,0.000207736,0.7773234,0.00003142838,0.000008083275,0.00002418461,0.0002392495,0.0009577131,0.00007555212,0.1814689,0.0381479,0.0005480686],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9479359,0.001214006,0.0003391684,0.001025895,0.0005107911,0.0001277582,0.00006640946,0.00004071636,0.04873933],"genre_scores_gemma":[0.9970208,0.001428243,0.0002692216,0.0005151579,0.0005407577,0.00002244438,0.000007102366,0.0000137493,0.0001824609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2656363,"threshold_uncertainty_score":0.4284603,"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."}}