{"id":"W3004193764","doi":"10.5267/j.uscm.2020.1.001","title":"Nonlinear impact of supply chain finance on the performance of seafood firms: A case study from Vietnam","year":2020,"lang":"en","type":"article","venue":"Uncertain Supply Chain Management","topic":"Working Capital and Financial Performance","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Business; Nonlinear system; Chain (unit); Industrial organization; Finance; Marketing","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006048205,0.0004611456,0.0005763465,0.0002139356,0.0002817962,0.0001020585,0.0007904924,0.00007533113,0.0002828448],"category_scores_gemma":[0.00005652103,0.0003267539,0.0002800025,0.001227843,0.0001466135,0.0004020115,0.0005125673,0.0003035475,0.0001181415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007436924,"about_ca_system_score_gemma":0.00003249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002578537,"about_ca_topic_score_gemma":0.0001306754,"domain_scores_codex":[0.9974767,0.00003977245,0.0007283644,0.0006014461,0.0006326435,0.0005211003],"domain_scores_gemma":[0.9984756,0.0001054101,0.0005438216,0.0007030077,0.0001411384,0.00003106654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003198084,0.005145812,0.8184397,0.002748691,0.001570794,0.002867784,0.01179725,0.05549122,0.0004109823,0.009620014,0.02466688,0.06404274],"study_design_scores_gemma":[0.009186346,0.005374526,0.2400032,0.001594883,0.000762483,0.00002370621,0.02712079,0.6754311,0.0005678957,0.0008471862,0.03646372,0.002624088],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939574,0.0001290101,0.00004687067,0.001810628,0.0002047639,0.001801246,0.00007670659,0.00007460425,0.00189877],"genre_scores_gemma":[0.9971955,0.0000784283,0.0001987031,0.001350476,0.0007533606,0.0001380415,0.00005995349,0.0000502094,0.0001753497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6199399,"threshold_uncertainty_score":0.9999185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01787645924957506,"score_gpt":0.2307953764495368,"score_spread":0.2129189171999618,"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."}}