{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007321185,0.0008443487,0.0007935657,0.003510748,0.01071238,0.009199229,0.00207749,0.004318781,0.02864416],"category_scores_gemma":[0.007679532,0.0003125225,0.0009018024,0.005533876,0.004382333,0.002980027,0.006482638,0.003697215,0.001969847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009659144,"about_ca_system_score_gemma":0.01098294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0457559,"about_ca_topic_score_gemma":0.1538948,"domain_scores_codex":[0.9952399,0.001123746,0.0001302377,0.0002988928,0.001080555,0.002126595],"domain_scores_gemma":[0.9976149,0.0006620421,0.0001097027,0.0002360191,0.0004866235,0.0008907777],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004238971,0.0002953908,0.01337826,0.0003971386,0.0000920955,0.004935208,0.03285787,0.002360936,0.001151612,0.5639966,0.3095205,0.07059046],"study_design_scores_gemma":[0.0001624699,0.0001494762,0.02485708,0.0005479194,0.00006642574,0.0007945577,0.0573332,0.002006498,0.001498081,0.0363972,0.8760912,0.00009579685],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.233954,0.002528203,0.001590294,0.02236153,0.001580399,0.0004883854,0.0007543219,0.000107874,0.736635],"genre_scores_gemma":[0.7779264,0.001449742,0.001214958,0.004616356,0.0003874408,0.0005180567,0.0008594471,0.0001054036,0.2129223],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.0457559,"threshold_uncertainty_score":0.09582418,"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."}}