{"id":"W7132461034","doi":"","title":"China-Focused Cases:Selected Winners of the CEIBS Global Case Contest","year":2018,"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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027469,0.0008710456,0.0008248736,0.0002937515,0.0008273207,0.00007857839,0.001045215,0.0008583938,0.0007850292],"category_scores_gemma":[0.001034508,0.0006847018,0.000474232,0.001427111,0.004049321,0.0001495498,0.0003181818,0.000547555,0.001333953],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700946,"about_ca_system_score_gemma":0.004132561,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008338435,"about_ca_topic_score_gemma":0.00320825,"domain_scores_codex":[0.9956437,0.0004179454,0.0009089247,0.001010754,0.001348038,0.0006706123],"domain_scores_gemma":[0.9960421,0.00009152503,0.001306393,0.001630734,0.0006250363,0.0003041933],"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":[0.0003133829,0.0005947952,0.004159688,0.0002690425,0.001044804,0.01857394,0.00009735968,0.00009806042,0.003599167,0.012301,0.9587304,0.000218326],"study_design_scores_gemma":[0.002809526,0.000285018,0.01662959,0.001863056,0.0008267748,0.1096038,0.00006230598,0.00008202872,0.003203703,0.000112948,0.8629758,0.001545442],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04569133,0.001555101,0.00005899624,0.00003839754,0.006216857,0.001226731,0.002363379,0.0006885486,0.9421607],"genre_scores_gemma":[0.7459058,0.000008537371,0.0005003331,0.00006065715,0.002397947,0.00008360629,0.0001996187,0.0006027002,0.2502408],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.7002144,"threshold_uncertainty_score":0.9995604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01131482266150722,"score_gpt":0.2435714523146814,"score_spread":0.2322566296531741,"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."}}