{"id":"W2386341906","doi":"","title":"Study on Economic Factor Relation of Jiangsu Counties and Evolution Process Based on Quantile Regression","year":2013,"lang":"en","type":"article","venue":"Geography and Geo-Information Science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Quantile regression; Econometrics; Quantile; Diversification (marketing strategy); Dilemma; Ordinary least squares; Regression; Regression analysis; Nonparametric statistics; Mathematics; Economics; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001087525,0.0001769355,0.0002511516,0.001285518,0.0002665282,0.0005586143,0.0003869724,0.0002240185,0.001915288],"category_scores_gemma":[0.004134031,0.0001459367,0.0005575486,0.001575321,0.0002201309,0.000748835,0.000371932,0.0003781428,0.0001131852],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005933357,"about_ca_system_score_gemma":0.0003873723,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02905422,"about_ca_topic_score_gemma":0.01590432,"domain_scores_codex":[0.9996067,0.0001387213,0.00001742893,0.0001040966,0.0000562747,0.000076952],"domain_scores_gemma":[0.9988656,0.000573365,0.0001954102,0.00009491012,0.0001983887,0.00007241545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005428442,0.00004997773,0.926973,0.00004459986,0.0001648786,0.0003768695,0.0007114447,0.03431351,0.0005988323,0.01151036,0.0008294624,0.02437284],"study_design_scores_gemma":[0.000007704548,0.00004488962,0.6958705,0.00001868189,0.0001054422,0.0001524672,0.000617144,0.2961874,0.0004656607,0.004557336,0.0019538,0.00001897794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820511,0.0002064049,0.0158693,0.0002061493,0.000009380849,0.0000131965,0.0002211282,0.00004131465,0.001381964],"genre_scores_gemma":[0.9986005,0.00007569614,0.0006978961,0.000006305963,0.000005426208,0.000005063409,0.0001551004,0.000005066105,0.0004489305],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02905422,"threshold_uncertainty_score":0.05777019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01720145706857132,"score_gpt":0.227805615134758,"score_spread":0.2106041580661867,"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."}}