{"id":"W4383343184","doi":"10.21203/rs.3.rs-3098016/v1","title":"Exploring the mechanism of grey forecasting models: A perspective from dynamic system modelling","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Grey System Theory Applications","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Simon Fraser University; Nanjing University of Aeronautics and Astronautics; Fundamental Research Funds for the Central Universities; Nanjing University; Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Computer science; Process (computing); Mechanism (biology); Perspective (graphical); Operations research; Artificial intelligence; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.002102394,0.0005444413,0.0008381304,0.001014207,0.0005574378,0.002193171,0.001243508,0.001364414,0.003329303],"category_scores_gemma":[0.004883463,0.0003261477,0.001087663,0.001209243,0.002345265,0.003074168,0.001303838,0.001787872,0.0003143405],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001705496,"about_ca_system_score_gemma":0.001159405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003805655,"about_ca_topic_score_gemma":0.001818992,"domain_scores_codex":[0.9992517,0.0003972957,0.00003411178,0.00009155491,0.0001611539,0.00006421997],"domain_scores_gemma":[0.9981036,0.001341378,0.0001884734,0.000115462,0.0001841841,0.0000668647],"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":[0.000006036761,0.00001010473,0.0003941784,0.00006678674,0.00002337276,0.00009652666,0.0002442233,0.09242858,0.0003683482,0.9003482,0.0007027827,0.005310901],"study_design_scores_gemma":[0.000005746508,0.00001763478,0.0002437496,0.00005077225,0.00001297455,0.00004577011,0.0001124018,0.29094,0.0002481182,0.7044535,0.003850571,0.00001872206],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02458754,0.00255042,0.9371058,0.005057203,0.0001677175,0.00005242322,0.0001043995,0.0001354477,0.03023902],"genre_scores_gemma":[0.9160152,0.004400077,0.07218087,0.0002891809,0.0001833908,0.0001166259,0.00008903623,0.00005897217,0.006666707],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003805655,"threshold_uncertainty_score":0.01237428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7578104377828704,"score_gpt":0.4871047573199071,"score_spread":0.2707056804629633,"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."}}