{"id":"W2747795874","doi":"10.3968/9669","title":"An Analysis of Academic Credit System in German Higher Education and Its Enlightenment to Credit System Construction in China","year":2017,"lang":"en","type":"article","venue":"Higher education of social science","topic":"Educational Reforms and Innovations","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"China; German; Enlightenment; Higher education; Process (computing); Business; Political science; Accounting; Financial system; Economics; Economic growth; Computer science; Law","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":[0.0006995143,0.0001108628,0.0002236406,0.0004947394,0.000370232,0.00005775124,0.000499829,0.00009170554,0.0002659931],"category_scores_gemma":[0.00002839076,0.0001049091,0.0000310022,0.001623653,0.0003924965,0.00109059,0.00009066709,0.0001131832,0.00001164037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165643,"about_ca_system_score_gemma":0.000359951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001915036,"about_ca_topic_score_gemma":0.00003385737,"domain_scores_codex":[0.9983334,0.0000364217,0.0004850233,0.000375119,0.0005662616,0.0002037604],"domain_scores_gemma":[0.9989842,0.0000145766,0.0004867601,0.0002826017,0.0001081165,0.0001237107],"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":[0.00001019951,0.0003833211,0.393582,0.00006802845,0.00001291907,1.074807e-7,0.004087677,0.00009061732,0.02273658,0.5742062,0.0002671996,0.004555147],"study_design_scores_gemma":[0.00007550886,0.00002361522,0.9957607,0.00006988608,0.000030456,9.209038e-7,0.00160772,0.0001830314,0.0007332876,0.0002011182,0.001205866,0.0001078422],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9707233,0.00002881347,0.000003715114,0.0007320897,0.001299705,0.0002608166,0.00001074503,0.000009722353,0.02693104],"genre_scores_gemma":[0.9982899,0.000005262595,0.0003931063,0.00005277224,0.0002085377,0.00008109632,0.00001299269,0.000005633568,0.0009506462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6021787,"threshold_uncertainty_score":0.4278069,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417869540638028,"score_gpt":0.32750524826891,"score_spread":0.3133265528625297,"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."}}