{"id":"W4409603269","doi":"10.61091/jcmcc127b-123","title":"Simulation and optimization of residents’ consumption behavior change and consumption upgrading path under multi-factor conditions","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Path (computing); Factor (programming language); Computer science; Computer network; Sociology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006528365,0.0004991157,0.0005153231,0.0005280194,0.0003225211,0.0005503312,0.0006038676,0.0007205581,0.003090153],"category_scores_gemma":[0.002275132,0.0002723932,0.0009419866,0.000593789,0.0003485719,0.0006343361,0.0005568391,0.0006185239,0.0001132648],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000787134,"about_ca_system_score_gemma":0.0009862371,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04964084,"about_ca_topic_score_gemma":0.03140363,"domain_scores_codex":[0.9997563,0.00009406207,0.00001066758,0.00005068508,0.00001500007,0.00007320009],"domain_scores_gemma":[0.9990997,0.0005852475,0.0000972145,0.00005387518,0.00008918837,0.00007480698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008824212,0.00008200898,0.01658148,0.00002739485,0.00004129905,0.00006852989,0.00005028085,0.9767607,0.0002079763,0.002191149,0.0003852696,0.003515651],"study_design_scores_gemma":[0.00001172364,0.00002768487,0.002034259,0.000002809268,0.00001499017,0.000004664027,0.00005023276,0.9969953,0.00007908082,0.0006344921,0.0001408152,0.000003818634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9647104,0.0001387389,0.03057753,0.0003598674,0.00003580607,0.00004186418,0.000635132,0.0001154666,0.003385208],"genre_scores_gemma":[0.9935528,0.00007922432,0.004984152,0.00002158921,0.000004216355,0.00004197781,0.0003070244,0.000008449151,0.001000464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04964084,"threshold_uncertainty_score":0.0987038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1646934411803496,"score_gpt":0.4008006674158749,"score_spread":0.2361072262355253,"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."}}