{"id":"W4406203441","doi":"10.61091/jcmcc123-11","title":"The Driving Mechanism and Computational Analysis of Digital Transformation in the Transformation of Traditional Industrial Spatial Structure in the Yangtze River Delta Economic Belt","year":2024,"lang":"en","type":"article","venue":"Journal of Combinatorial Mathematics and Combinatorial Computing","topic":"Regional Socio-Economic Development Trends","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Yangtze river; Delta; Transformation (genetics); Mechanism (biology); River delta; Environmental science; Economic geography; Geography; Engineering; China; Aerospace engineering; Chemistry; Physics","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":[0.003398845,0.0001411171,0.0004055567,0.0003216387,0.0003229926,0.0003492795,0.0003806541,0.0001330308,0.000004793032],"category_scores_gemma":[0.000143975,0.00009095275,0.0001640472,0.0004908792,0.0002616902,0.000500977,0.00002381045,0.0003793914,1.25443e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001474116,"about_ca_system_score_gemma":0.0003060261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001529886,"about_ca_topic_score_gemma":0.00009998269,"domain_scores_codex":[0.997662,0.0002689625,0.001134858,0.0001087883,0.0006517496,0.0001736357],"domain_scores_gemma":[0.9963631,0.002866687,0.0005542489,0.00007215898,0.0001046376,0.00003915951],"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":[0.00003093189,0.00007810595,0.000539189,0.00002825174,0.0001927388,0.000001730897,0.06015758,0.0008877189,0.000003963153,0.934872,0.00002116232,0.00318668],"study_design_scores_gemma":[0.001697079,0.0001557264,0.004638781,0.0001508442,0.0002309032,0.00001417337,0.01139572,0.0356857,0.00001077468,0.9456286,0.0002601738,0.0001314849],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940324,0.00007673454,0.001702581,0.001240056,0.002299455,0.0002743628,0.00002541816,0.000004767577,0.0003442139],"genre_scores_gemma":[0.9994013,0.00005128739,0.0001089944,0.000008479924,0.0004037951,0.00000205696,0.0000169031,0.00000663542,5.45148e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04876185,"threshold_uncertainty_score":0.3708946,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02349634405674549,"score_gpt":0.2605444423228134,"score_spread":0.2370480982660679,"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."}}