{"id":"W2376345343","doi":"","title":"North Bay Economic Zone in Guangxi improve Cities lowest social security system's analysis","year":2010,"lang":"en","type":"article","venue":"The Journal of Guangxi Economic Management Cadre College","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Countermeasure; Livelihood; Social security; Unemployment; Government (linguistics); Business; Bay; Economic growth; Geography; Economics; Market economy; Agriculture","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002625588,0.0004082581,0.001562737,0.001596167,0.0003343479,0.0001484054,0.001260865,0.0001847883,0.001299554],"category_scores_gemma":[0.00001701974,0.0003879694,0.0009593435,0.000448697,0.0002432044,0.0005845203,0.0002602959,0.0006172744,0.0005548166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001044517,"about_ca_system_score_gemma":0.00009285734,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002672952,"about_ca_topic_score_gemma":0.03899131,"domain_scores_codex":[0.996309,0.00008782187,0.002467734,0.0005005958,0.00008273156,0.0005520885],"domain_scores_gemma":[0.9966269,0.0001631685,0.002358449,0.0006415792,0.00004722473,0.0001627445],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005498407,0.0002329952,0.1864178,0.0002085032,0.008043928,0.0001278178,0.002266745,0.01804519,0.000007359282,0.7717376,0.01160966,0.0007525553],"study_design_scores_gemma":[0.01180687,0.0007071854,0.5443604,0.0001067893,0.005002559,0.0002295098,0.02442298,0.1942408,0.00007184555,0.03169487,0.1834226,0.003933573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702069,0.0003274967,0.0007308145,0.002022598,0.001674239,0.0004051524,0.0007143312,0.00002318591,0.02389529],"genre_scores_gemma":[0.9958086,0.0004281648,0.0001266297,0.0001988923,0.0008859189,0.00002325255,0.00002514957,0.00004246296,0.002460938],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7400427,"threshold_uncertainty_score":0.9998572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008798254164593474,"score_gpt":0.1947557857636641,"score_spread":0.1859575315990706,"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."}}