{"id":"W1545288560","doi":"10.3968/5420","title":"Study on the Performance Evaluation of Tertiary Industry in China","year":2014,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Regional Economic and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; Data envelopment analysis; Tertiary sector of the economy; Range (aeronautics); Statistical analysis; Tertiary level; Business; Statistics; Geography; Marketing; Engineering; Mathematics; Mathematics education","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.006925236,0.00005768518,0.0002966323,0.0002122432,0.00008747409,0.000001268824,0.0002976299,0.00006751077,0.00001822463],"category_scores_gemma":[0.0006568881,0.0000437945,0.00003038288,0.0002828854,0.006163581,0.00008245682,0.00008629543,0.0002132753,0.000008212189],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001031319,"about_ca_system_score_gemma":0.00003042717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001026211,"about_ca_topic_score_gemma":0.00003777827,"domain_scores_codex":[0.999091,0.00006912445,0.0004325412,0.0002199007,0.00006130175,0.000126174],"domain_scores_gemma":[0.9993359,0.0001579841,0.0002719197,0.000177487,0.00004752909,0.000009174638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003473639,0.00007816247,0.9570575,0.000003295688,0.00001977476,6.148164e-8,0.02137878,0.003086987,0.000006324213,0.01790191,0.00001804796,0.0004456811],"study_design_scores_gemma":[0.0002419298,0.0001122576,0.9533584,0.00001215737,0.000003419815,1.037551e-7,0.01971576,0.01028822,0.00002931564,0.01618745,0.000005825466,0.0000451376],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944342,0.0003147747,0.000003371061,0.0009411644,0.0001323414,0.0001366922,0.000001385593,0.000001202699,0.004034901],"genre_scores_gemma":[0.9997442,0.00009025505,0.00001020607,0.00009413949,0.00001545819,0.00002505147,1.501841e-7,0.000001606045,0.00001898641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007201236,"threshold_uncertainty_score":0.9965411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1367149233492132,"score_gpt":0.3357221282125422,"score_spread":0.199007204863329,"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."}}