{"id":"W2162104843","doi":"10.1509/jmkr.48.spl.s14","title":"Earmarking and Partitioning: Increasing Saving by Low-Income Households","year":2011,"lang":"en","type":"article","venue":"Journal of Marketing Research","topic":"Housing Market and Economics","field":"Economics, Econometrics and Finance","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Welfare; Economics; Psychological intervention; Control (management); Low income; Public economics; Test (biology); Monetary economics; Econometrics; Demographic economics; Psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03544681,0.0001255188,0.0003845227,0.0004327275,0.000337357,0.0002418458,0.0002990251,0.0001111367,0.0003463261],"category_scores_gemma":[0.003361183,0.0001420904,0.00008680185,0.0002469892,0.0001530751,0.0004791804,0.0001759223,0.0007110919,0.00003712015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000193567,"about_ca_system_score_gemma":0.00005343584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002385439,"about_ca_topic_score_gemma":0.0000104743,"domain_scores_codex":[0.9977293,0.0004117851,0.0009141512,0.0002471551,0.0001155725,0.0005820223],"domain_scores_gemma":[0.9977366,0.001163753,0.0005696387,0.0001880799,0.0001396064,0.000202355],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008386641,0.0001119111,0.9836626,0.0001307818,0.00008152061,0.00004081477,0.001164119,0.000006112583,0.0003129666,0.001974981,0.002099212,0.009576285],"study_design_scores_gemma":[0.002125655,0.0003850718,0.9306629,0.00105701,0.00002002806,0.000341592,0.001413959,0.002261535,0.0003309485,0.02405494,0.03657874,0.0007675823],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9170946,0.001025522,0.0001236073,0.0001372747,0.0002259963,0.000065511,0.000005735988,0.0000138562,0.08130787],"genre_scores_gemma":[0.9965206,0.00158484,0.001436106,0.00003396761,0.0002301876,0.000002072018,9.181455e-7,0.00003974497,0.0001515589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08115631,"threshold_uncertainty_score":0.9932105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09654563374213881,"score_gpt":0.2806910456235968,"score_spread":0.184145411881458,"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."}}