{"id":"W4409794966","doi":"10.61091/jcmcc127b-441","title":"Research on the Construction and Application of Macroeconomic Forecasting Model Based on Time Series Cluster Analysis","year":2025,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Series (stratigraphy); Cluster (spacecraft); Time series; Computer science; Econometrics; Data mining; Industrial engineering; Machine learning; Economics; Engineering; Geology","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":[],"consensus_categories":[],"category_scores_codex":[0.01319398,0.000166846,0.0006747626,0.0009465757,0.0005286117,0.0003066352,0.0005891434,0.0001163389,0.000006079938],"category_scores_gemma":[0.00200518,0.000114363,0.0001706056,0.001455163,0.0003101332,0.0001330767,0.00019434,0.0003957132,0.000003770896],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008407654,"about_ca_system_score_gemma":0.0001477263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003813148,"about_ca_topic_score_gemma":5.582472e-7,"domain_scores_codex":[0.9965907,0.0005209689,0.001443435,0.0002799502,0.0009698683,0.0001950702],"domain_scores_gemma":[0.9877556,0.009059489,0.001378727,0.0005184108,0.00121124,0.00007654498],"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":[0.000177107,0.0001378294,0.0003079639,0.00003545324,0.0001126253,3.382106e-7,0.0002840052,0.01556985,0.0002070465,0.9807783,0.0001814213,0.002208087],"study_design_scores_gemma":[0.0005859893,0.0001492678,0.00005557476,0.00008293518,0.00007547349,0.000004305835,0.0004481483,0.4703457,0.0003648893,0.5277726,0.00006144097,0.0000536736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8560409,0.00002692404,0.1370106,0.001506623,0.001295621,0.0005585566,0.000006483047,0.00001193197,0.003542329],"genre_scores_gemma":[0.9962033,0.000001805627,0.003570732,0.00003530684,0.0001484249,0.00000742325,6.132883e-7,0.00001016676,0.0000222478],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4547759,"threshold_uncertainty_score":0.4663587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05287863939163315,"score_gpt":0.3536100654717357,"score_spread":0.3007314260801025,"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."}}