{"id":"W2999264521","doi":"10.1257/pandp.20201054","title":"Measuring the Impact of Free Goods on Real Household Consumption","year":2020,"lang":"en","type":"article","venue":"AEA Papers and Proceedings","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Biotech (Canada); University of British Columbia","funders":"","keywords":"Consumption (sociology); Production (economics); Economics; Digital goods; Microeconomics; Goods and services; Econometrics; Computer science; Economy","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":[0.0002187153,0.0001343976,0.0001487962,0.00005131665,0.0001515675,0.0001547634,0.0001697526,0.00004219302,0.00008223784],"category_scores_gemma":[0.00007803275,0.00008834068,0.00008103801,0.0001895338,0.00005593162,0.0002951892,0.0001136156,0.0001307567,0.000006393419],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009236614,"about_ca_system_score_gemma":0.000007468819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000742337,"about_ca_topic_score_gemma":0.00001043203,"domain_scores_codex":[0.9993356,0.000002354859,0.0001532256,0.0001847389,0.000164059,0.0001599929],"domain_scores_gemma":[0.9997021,0.00003538245,0.0001242222,0.00007503529,0.00004355226,0.00001972623],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001714694,0.00002023032,0.9557348,0.0001835427,0.00003766481,0.00000152679,0.0004281835,0.000004886041,0.02165876,0.00173977,0.002881537,0.01713764],"study_design_scores_gemma":[0.0005713046,0.00005019232,0.9956801,0.000071166,0.00009873969,0.00000220566,0.0002382812,0.0003337284,0.0002742719,0.0001499239,0.002353015,0.0001770884],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9527497,0.00007284762,5.870951e-7,0.0007586467,0.00003790901,0.0001364889,0.000003208866,0.00006548763,0.04617512],"genre_scores_gemma":[0.9991309,0.0001083056,0.0000092594,0.0004742269,0.0002327401,0.000005620015,0.000001859013,0.00001680848,0.00002025438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04638122,"threshold_uncertainty_score":0.3602428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06125162092458539,"score_gpt":0.2450461696075092,"score_spread":0.1837945486829238,"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."}}