{"id":"W2544943269","doi":"10.3968/8773","title":"Relation From the Perspectives of Chinese Culture and German Culture: Cases Analysis of Networking in Germany-Funded Enterprises","year":2016,"lang":"en","type":"article","venue":"Canadian social science","topic":"Japanese History and Culture","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"German; Relation (database); China; Work (physics); Sociology; Public relations; Political science; Law; Engineering; Computer science; Linguistics; Philosophy","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":[0.0004581609,0.00007668944,0.0001724913,0.0001247109,0.0008192338,0.00003306449,0.0003089879,0.00008971673,0.00006362749],"category_scores_gemma":[0.0002650203,0.00004484355,0.00007020491,0.001971264,0.001789667,0.0003195895,0.00002100729,0.00007642186,7.328996e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003591024,"about_ca_system_score_gemma":0.0002781374,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07523126,"about_ca_topic_score_gemma":0.5855424,"domain_scores_codex":[0.9989688,0.0001380074,0.0001466591,0.0002159038,0.0002947361,0.0002358785],"domain_scores_gemma":[0.9994226,0.00009818047,0.000125884,0.00009604295,0.0001258842,0.0001314383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.000006280135,0.000009943017,0.3703865,0.000001317834,0.00003595467,0.000003869674,0.6143491,0.000001017743,0.001821407,0.01211525,0.0002088942,0.001060398],"study_design_scores_gemma":[0.0001653004,0.00001595719,0.8508822,0.00004033329,0.0001122035,4.865343e-7,0.1267059,0.00001418077,0.00001477097,0.001914881,0.01996136,0.0001724629],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.97856,0.001013656,0.000005795343,0.0005497234,0.0001302747,0.0001014778,0.00004538042,0.000007321156,0.01958636],"genre_scores_gemma":[0.9992296,0.0001165318,0.000009540301,0.00007944219,0.0001755526,0.000002824695,0.000002065776,0.000002272853,0.0003821343],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5103112,"threshold_uncertainty_score":0.9309269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01159445975194056,"score_gpt":0.2808251811717669,"score_spread":0.2692307214198263,"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."}}