{"id":"W1694325694","doi":"10.3968/j.hess.1927024020130503.2829","title":"Construction and Strategies in Economics and Management Emulation Laboratory in Higher Education of China","year":2013,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Education and Work Dynamics","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Emulation; China; Subject (documents); Economics education; Engineering management; Higher education; Management science; Computer science; Economics; Engineering; Political science; Economic growth","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":[0.0003897694,0.00006150368,0.00009996624,0.0002643674,0.0001616842,0.0000825146,0.0001041382,0.00005959911,0.0001605],"category_scores_gemma":[0.000009888778,0.00007091194,0.000009354448,0.000753396,0.0008394124,0.0008654087,0.00002119701,0.00005219268,0.000001534176],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001943833,"about_ca_system_score_gemma":0.0009826483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001777046,"about_ca_topic_score_gemma":0.0001163011,"domain_scores_codex":[0.9992502,0.00006265501,0.0002363178,0.0001794438,0.0001411565,0.000130247],"domain_scores_gemma":[0.999527,0.00002145,0.0001809919,0.00006722339,0.0001494247,0.00005393996],"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":[0.0000016471,0.0001043915,0.05055668,0.00002209569,0.000001148005,5.400206e-9,0.008356052,0.000007993071,0.0001128975,0.9292441,0.00005570554,0.0115373],"study_design_scores_gemma":[0.00008640271,0.000006122147,0.9577754,0.00002435063,0.000003009028,4.861474e-8,0.01761694,0.00001079805,0.00001397955,0.01871224,0.005682388,0.0000683683],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8866607,0.0001027768,0.00000188282,0.001977235,0.0008193922,0.0002569049,0.000001032021,0.000006601746,0.1101735],"genre_scores_gemma":[0.9966048,0.0004145612,0.001012266,0.00007674519,0.00009188431,0.00003516509,0.000002748028,0.000003411388,0.001758444],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9105319,"threshold_uncertainty_score":0.309285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01174184522084919,"score_gpt":0.3069110024497279,"score_spread":0.2951691572288787,"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."}}