{"id":"W7132240287","doi":"","title":"一家生鲜电商的精益之路","year":2017,"lang":"","type":"article","venue":"CEIBS Institutional Repository","topic":"Military Technology and Strategies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Casa","funders":"","keywords":"","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"],"consensus_categories":[],"category_scores_codex":[0.0001859799,0.0003636764,0.0003217052,0.0001207653,0.004816437,0.0002868544,0.001135127,0.0005913543,0.0001421745],"category_scores_gemma":[0.0001941763,0.0004023949,0.0002013547,0.00004956204,0.002258408,0.0009296109,0.0002240046,0.0007502649,0.0003680258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002450084,"about_ca_system_score_gemma":0.0004280026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001113876,"about_ca_topic_score_gemma":0.00002268381,"domain_scores_codex":[0.9982315,0.00002845589,0.0004740096,0.0004726442,0.000321944,0.0004714663],"domain_scores_gemma":[0.9979944,0.00004228317,0.0001420336,0.00155655,0.0001061197,0.0001586733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004579098,0.0000954206,0.004006438,0.000216056,0.000285597,0.001302124,0.0001731175,0.006014943,0.004905527,0.9759231,0.001905805,0.005126079],"study_design_scores_gemma":[0.003718603,0.0004841617,0.4378832,0.001737329,0.0005377638,0.004211975,0.0008463458,0.02967277,0.03765098,0.1756356,0.3037888,0.003832462],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.152176,0.00812815,0.001284968,0.0002962575,0.008695441,0.0001724792,0.00002491862,0.0003455144,0.8288763],"genre_scores_gemma":[0.9924244,0.000553782,0.0006409895,0.00003045099,0.000924603,0.00002628427,0.000009189957,0.00002343757,0.005366906],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8402483,"threshold_uncertainty_score":0.9998428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01396809832597967,"score_gpt":0.2290408715450762,"score_spread":0.2150727732190965,"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."}}