{"id":"W2012525658","doi":"10.1108/20426741111122402","title":"Building humanitarian supply chain relationships: lessons from leading practitioners","year":2011,"lang":"en","type":"article","venue":"Journal of Humanitarian Logistics and Supply Chain Management","topic":"Outsourcing and Supply Chain Management","field":"Business, Management and Accounting","cited_by":154,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Supply chain; Originality; Context (archaeology); Business; Public relations; Supply chain management; Value (mathematics); Knowledge management; Qualitative research; Marketing; Sociology; Political science; Computer science; Social science","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"],"consensus_categories":[],"category_scores_codex":[0.00250322,0.0005214314,0.00065922,0.001352377,0.00105774,0.000779557,0.000732557,0.0001654431,0.0005824135],"category_scores_gemma":[0.0003132215,0.0005071503,0.0002423786,0.0004292569,0.0002281694,0.00123751,0.0004887346,0.000799087,0.0001016743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001886389,"about_ca_system_score_gemma":0.00003060451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001002819,"about_ca_topic_score_gemma":0.0005583085,"domain_scores_codex":[0.9966816,0.0001155902,0.001217589,0.0005786773,0.0007311852,0.0006753953],"domain_scores_gemma":[0.9976779,0.0002221733,0.001170604,0.0005208788,0.0003114313,0.00009701294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001579673,0.0004107101,0.01697155,0.000278479,0.0006577683,0.0008772095,0.002099625,0.001375392,0.00006014286,0.9571053,0.0153577,0.004648163],"study_design_scores_gemma":[0.005182183,0.000384588,0.1188617,0.001229587,0.002692407,0.00006859477,0.03389692,0.01152027,0.00002844739,0.5024914,0.3213449,0.002299028],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1218094,0.002460707,0.6212835,0.0226522,0.007845021,0.003117529,0.0001407459,0.000628214,0.2200627],"genre_scores_gemma":[0.9768745,0.0001943381,0.01861402,0.001294356,0.001917934,0.00002233636,0.00007082226,0.00008770797,0.0009240402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.855065,"threshold_uncertainty_score":0.999738,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06272819385700422,"score_gpt":0.2576237878825454,"score_spread":0.1948955940255412,"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."}}