{"id":"W4378906252","doi":"10.1155/2023/8144530","title":"The Spatial-Temporal Evolution on County Accessibility and Economic Impact of Baoding High-Speed Railway Network","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Geography; Beijing; Distribution (mathematics); Spatial distribution; Convergence (economics); Economic geography; Central city; China; Economic growth; Mathematics","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":[0.0001854974,0.0001085558,0.0001589211,0.0008077044,0.0003301115,0.0006509303,0.0002446164,0.0001472851,0.00135576],"category_scores_gemma":[0.001271945,0.0001428777,0.0002398302,0.001928286,0.0002789714,0.0003829717,0.0006523787,0.0001936292,0.0001112682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009034735,"about_ca_system_score_gemma":0.0006571872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1595053,"about_ca_topic_score_gemma":0.2903737,"domain_scores_codex":[0.9997708,0.00004769373,0.0000165368,0.00004720871,0.00004306345,0.00007465611],"domain_scores_gemma":[0.9993098,0.00009782705,0.0002316303,0.00004228261,0.0002131498,0.0001054377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005906224,0.00002565211,0.9866176,0.00003356521,0.00007304769,0.0003906567,0.001360272,0.001933748,0.0009002392,0.0007386813,0.0003491167,0.007518326],"study_design_scores_gemma":[6.011007e-7,0.000008473198,0.9970763,0.000004468614,0.00001254098,0.00004653136,0.001158583,0.001073423,0.000042346,0.0000361302,0.0005374076,0.000003240663],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987113,0.00005092236,0.0001226471,0.00002389762,0.000001833171,0.000003218395,0.000206209,0.000003012633,0.0008770209],"genre_scores_gemma":[0.999047,0.00006466357,0.00009512918,0.000001811697,0.000001260708,0.000004516973,0.0002185178,0.000001058692,0.000565924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1595053,"threshold_uncertainty_score":0.3171536,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02180146110896436,"score_gpt":0.2688675197529918,"score_spread":0.2470660586440274,"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."}}