{"id":"W4408716618","doi":"10.2139/ssrn.5188525","title":"How Large is the Local Transfermultiplier for Consumption: Evidence from Canada","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Economics; Business; Economic geography; Sociology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001572706,0.0002374894,0.0004603706,0.001183891,0.003113615,0.003292012,0.001452252,0.0009359734,0.01450653],"category_scores_gemma":[0.01313387,0.0002911201,0.0004589711,0.003372339,0.002476359,0.001446864,0.001026195,0.001380432,0.0007698878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02624332,"about_ca_system_score_gemma":0.01799266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9866909,"about_ca_topic_score_gemma":0.991693,"domain_scores_codex":[0.998751,0.0001807101,0.00003739455,0.0002026878,0.0005402129,0.0002879538],"domain_scores_gemma":[0.9837187,0.005891295,0.002906458,0.0009345085,0.004444898,0.002104117],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001427587,0.0003173253,0.8842549,0.0002545958,0.0002821849,0.0004639316,0.005220841,0.001466203,0.0005698524,0.01680299,0.02123392,0.06770561],"study_design_scores_gemma":[0.00008397042,0.00009150839,0.9636554,0.0001823714,0.0002913591,0.00009688699,0.009483542,0.001461675,0.000602992,0.001820614,0.02217314,0.00005654296],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9395611,0.004679001,0.0005625266,0.00618226,0.0000310824,0.00004258406,0.002052899,0.000047276,0.0468412],"genre_scores_gemma":[0.9893154,0.00145506,0.0001655092,0.0002543646,0.00001465264,0.000005831359,0.0005330109,0.00002094493,0.008235258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02624332,"threshold_uncertainty_score":0.1904095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02574683071701561,"score_gpt":0.2541885642607524,"score_spread":0.2284417335437368,"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."}}