{"id":"W4226128343","doi":"10.2139/ssrn.4054023","title":"How do households spend carbon tax rebates?","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; University of Ottawa; Global Affairs Canada","funders":"","keywords":"Carbon tax; Business; Economics; Public economics; Greenhouse gas","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":[0.01131927,0.0001700675,0.0002527656,0.0003868908,0.0007897306,0.0007148353,0.001010872,0.00005305378,0.0001724248],"category_scores_gemma":[0.0004617598,0.0001372465,0.0002218442,0.001078099,0.00005386531,0.0003444124,0.0001515066,0.002206712,0.00001783662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005505015,"about_ca_system_score_gemma":0.001035675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009009942,"about_ca_topic_score_gemma":0.0004017652,"domain_scores_codex":[0.9945046,0.0004559336,0.0005116315,0.0004367884,0.002253437,0.001837616],"domain_scores_gemma":[0.9985555,0.0002041052,0.0004679578,0.0004496286,0.0002007023,0.0001221123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0005301472,0.0004928974,0.03361203,0.000005720795,0.0004441331,0.0001241123,0.002741259,0.01640983,0.002875861,0.4977364,0.007680226,0.4373474],"study_design_scores_gemma":[0.0006526381,0.0005085023,0.000486315,0.000003972158,0.00003197008,0.0009985828,0.01987155,0.005402093,0.00003190707,0.9447617,0.02700226,0.0002485341],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799502,0.003518327,0.005953015,0.005090274,0.0008442295,0.000113148,0.00001023025,0.00005741614,0.004463188],"genre_scores_gemma":[0.9864481,0.001098958,0.00007781277,0.0001283986,0.0002195338,0.00001011789,0.000003187138,0.00002666492,0.01198723],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4470253,"threshold_uncertainty_score":0.9587187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0722831244356398,"score_gpt":0.321104861777708,"score_spread":0.2488217373420682,"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."}}