{"id":"W7132567728","doi":"","title":"China-Focused Cases:Selected Winners of the CEIBS Global Case Contest Ⅱ","year":2024,"lang":"en","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"CONTEST; Government (linguistics); Term (time); Casual","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000252103,0.000878248,0.0008016917,0.0003575727,0.0004518182,0.0001179519,0.0008549187,0.0007961212,0.0003680265],"category_scores_gemma":[0.0007107332,0.0006778446,0.0005722769,0.001742338,0.002350064,0.0001266499,0.0003450436,0.0009165701,0.001796239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001858737,"about_ca_system_score_gemma":0.003778312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008315812,"about_ca_topic_score_gemma":0.002476102,"domain_scores_codex":[0.9957435,0.0003208251,0.0009041125,0.001097783,0.001318728,0.0006150403],"domain_scores_gemma":[0.9970905,0.00007422074,0.0008129949,0.0013998,0.0003471231,0.0002753251],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001697972,0.0003962707,0.0007665124,0.0006598125,0.00129175,0.05081277,0.0001252258,0.0001881439,0.00302409,0.02923664,0.913127,0.0002019816],"study_design_scores_gemma":[0.001717745,0.000162954,0.004040216,0.003319375,0.001300689,0.1441082,0.00008652402,0.00009700737,0.001780459,0.0003280113,0.8416018,0.001457012],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0157718,0.008556985,0.00003078802,0.00007778667,0.008648693,0.001209282,0.004280988,0.001035475,0.9603882],"genre_scores_gemma":[0.675929,0.00001188648,0.0002296287,0.00004997794,0.001488023,0.00009204603,0.0001514116,0.0007339939,0.3213141],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6601571,"threshold_uncertainty_score":0.9995673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140061062417271,"score_gpt":0.2490820862267402,"score_spread":0.2376814756025675,"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."}}