{"id":"W7132492428","doi":"","title":"Breadth or Depth: The Growth Strategy of Ace Company","year":2019,"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":"Dilemma; Zhàng; Investment (military); Scale (ratio); China; Emerging markets; Market analysis; Focus (optics)","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":[0.0002736773,0.0005772169,0.0006870079,0.0003389179,0.0002879558,0.00006661412,0.001122304,0.0005428673,0.0005654591],"category_scores_gemma":[0.0001281893,0.0003749343,0.0002897759,0.000409915,0.001737949,0.0001365428,0.0001980885,0.0006276946,0.00386807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004048911,"about_ca_system_score_gemma":0.002893788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001259094,"about_ca_topic_score_gemma":0.0003572754,"domain_scores_codex":[0.9968392,0.0002295208,0.0006332375,0.0006672718,0.001205674,0.0004250568],"domain_scores_gemma":[0.9973895,0.0002008972,0.0008702491,0.001128753,0.0002719848,0.000138605],"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":[0.0002345077,0.0002844775,0.0008911028,0.0004364836,0.0006121238,0.0002150457,0.00006585983,0.0004226754,0.003323338,0.08535116,0.9079567,0.0002065195],"study_design_scores_gemma":[0.0009208575,0.0001017769,0.009284426,0.0009955463,0.0002551692,0.0009544083,0.00008880654,0.00007253141,0.001938759,0.0001352258,0.9845742,0.0006782767],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0007519894,0.002629452,0.0001142075,0.0000355615,0.002586318,0.0008611287,0.0004828249,0.0003311661,0.9922073],"genre_scores_gemma":[0.2109236,0.00006080073,0.0003504899,0.00006895489,0.00137319,0.00004541429,0.0001654475,0.0006224117,0.7863897],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2101716,"threshold_uncertainty_score":0.9998702,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02955040712610214,"score_gpt":0.2685509193237244,"score_spread":0.2390005121976223,"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."}}