{"id":"W7132542188","doi":"","title":"Yi Liu Tech：Exploring Logistics Transparency (A)","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":"Big data; Transparency (behavior); Service (business); Humanitarian Logistics; Business model; Software; Investment (military); Process (computing); Service provider","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":[0.0002125024,0.0007838058,0.0007244452,0.0007533896,0.000380865,0.00009846572,0.0008726067,0.0008174793,0.0005546928],"category_scores_gemma":[0.0001719682,0.0008167559,0.0003420522,0.0003991945,0.0009616868,0.0002397796,0.0001245115,0.0009226192,0.01612246],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009611757,"about_ca_system_score_gemma":0.001574228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003165865,"about_ca_topic_score_gemma":0.00005143629,"domain_scores_codex":[0.9961352,0.00009811951,0.0007053002,0.001099383,0.001312169,0.0006497909],"domain_scores_gemma":[0.997719,0.00008292266,0.0005086812,0.001277949,0.0001547803,0.0002566247],"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":[0.0001050171,0.0005291215,0.001069244,0.001138527,0.0007407661,0.001633254,0.0001516771,0.003081672,0.006753811,0.1390967,0.8447119,0.0009883238],"study_design_scores_gemma":[0.0005442537,0.00005699458,0.0003674957,0.001368573,0.0002100542,0.0002991087,0.00002426046,0.00005943068,0.0009573371,0.0001678026,0.9949844,0.0009602546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008486873,0.003906727,0.003927971,0.00001730032,0.009855967,0.0007270206,0.0006245089,0.00154284,0.9793128],"genre_scores_gemma":[0.05382841,0.0003142424,0.002115875,0.00006364431,0.004456005,0.0003061698,0.0004820198,0.001568192,0.9368654],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1502725,"threshold_uncertainty_score":0.9994283,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06715092419708506,"score_gpt":0.2581791160880741,"score_spread":0.191028191890989,"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."}}