{"id":"W7132748039","doi":"","title":"Freshippo: A New Species in Chinese Retail (B)– Data-Driven Core Competencies","year":2019,"lang":"","type":"other","venue":"CEIBS Institutional Repository","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"Core competency; Core (optical fiber); Measure (data warehouse); Key (lock); Context (archaeology)","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","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"category_scores_codex":[0.001047235,0.002791448,0.00315469,0.002332671,0.001142745,0.0006030501,0.006443086,0.002133589,0.008667093],"category_scores_gemma":[0.001893163,0.002747989,0.000755483,0.002271366,0.00516022,0.001955957,0.003758335,0.003478732,0.04144638],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.004190908,"about_ca_system_score_gemma":0.01905137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002806055,"about_ca_topic_score_gemma":0.005634175,"domain_scores_codex":[0.9856446,0.0006088607,0.003159499,0.004534147,0.004077194,0.001975697],"domain_scores_gemma":[0.9876329,0.000660622,0.002441089,0.00757951,0.0005924596,0.001093377],"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":[0.001757487,0.002323947,0.1936464,0.001914776,0.002515257,0.00846072,0.001902267,0.0177344,0.0294014,0.09116177,0.6484796,0.0007019251],"study_design_scores_gemma":[0.003734384,0.0001703045,0.09948139,0.004282183,0.0003734283,0.001340488,0.0002612455,0.004932846,0.00005588921,0.0002670481,0.8824669,0.002633969],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.034044,0.01776955,0.0002035206,0.0001690813,0.01587753,0.003087835,0.004590571,0.000498158,0.9237598],"genre_scores_gemma":[0.1108158,0.0007234936,0.004864402,0.0002400844,0.009084868,0.00007747494,0.006101006,0.001223447,0.8668694],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2339872,"threshold_uncertainty_score":0.9996318,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06934045997070774,"score_gpt":0.2796141832222931,"score_spread":0.2102737232515853,"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."}}