{"id":"W4406203379","doi":"10.61091/jcmcc123-25","title":"Quantitative Analysis of Consumption Trends and Their Economic Effects Based on a Multi-Temporal Double-Difference Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Energy, Environment, Economic Growth","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Entertainment; Panel data; Consumption (sociology); China; Robustness (evolution); Econometrics; Economics; Regression analysis; Geography; Statistics; Mathematics; Political science; Sociology; Social science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001529419,0.00031523,0.001345097,0.001173956,0.0001036612,0.0002332166,0.0002451055,0.0001629837,0.00001298936],"category_scores_gemma":[0.00007937334,0.0002979503,0.0003319295,0.0003391969,0.0001441742,0.0002008784,0.00007944662,0.0003259921,0.000003491428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001825828,"about_ca_system_score_gemma":0.00004005645,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003427647,"about_ca_topic_score_gemma":0.000001443412,"domain_scores_codex":[0.9978241,0.00006140902,0.001390836,0.0003981673,0.00008736792,0.0002381358],"domain_scores_gemma":[0.9973323,0.000889885,0.001352274,0.0002491994,0.00003750433,0.0001388158],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001386429,0.0004657576,0.005290154,0.0003977607,0.0009983872,0.000004387062,0.0009850453,0.001869242,0.00009806478,0.9890359,0.00001088947,0.0007057929],"study_design_scores_gemma":[0.004947944,0.0009765403,0.01090642,0.0002629073,0.0003143184,0.000008733008,0.0001122145,0.8666631,0.0002930503,0.1150659,0.00006639688,0.0003825107],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539786,0.001586462,0.03943413,0.00005651421,0.003993807,0.0001671391,0.00003182891,0.00002326647,0.0007282466],"genre_scores_gemma":[0.9942411,0.00009738103,0.005428557,0.00001257284,0.0001694484,0.000004301269,0.000008679577,0.0000302077,0.000007780052],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.87397,"threshold_uncertainty_score":0.9999472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03685784265101148,"score_gpt":0.2567118889862687,"score_spread":0.2198540463352572,"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."}}