{"id":"W2732044910","doi":"10.20286/jeas.v3i4.29","title":"Integrated and Separated Logistics Management Study of Nigeria Bottling Company Plc and Nigeria Breweries Plc","year":2016,"lang":"en","type":"article","venue":"Nova Journal of Engineering and Applied Sciences","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Shareholder; Bottling line; Welfare; Ranking (information retrieval); Scope (computer science); Work (physics); Likert scale; Profit maximization; Profit (economics); Operations management; Economics; Finance; Engineering","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":[],"consensus_categories":[],"category_scores_codex":[0.000342168,0.0001724766,0.0003303604,0.0001882125,0.00006368147,0.00005748536,0.0001257979,0.0000454292,0.000007362769],"category_scores_gemma":[0.00001459166,0.0001144662,0.00001670725,0.0002361096,0.0002370018,0.00009340548,0.00002312052,0.000116163,3.001892e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001382107,"about_ca_system_score_gemma":0.00001005648,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003013188,"about_ca_topic_score_gemma":0.000007509143,"domain_scores_codex":[0.9990514,0.000006366871,0.000413274,0.0001428025,0.0001909813,0.0001951593],"domain_scores_gemma":[0.9996225,0.00007468394,0.00008451808,0.00007382461,0.00004926991,0.00009519768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0004041051,0.000598895,0.1161907,0.001469727,0.001518396,0.0002633752,0.008875825,0.5027959,0.3239832,0.01615485,0.0008430422,0.02690196],"study_design_scores_gemma":[0.02758332,0.007935604,0.5919311,0.004688262,0.001417823,0.001039144,0.03724457,0.2627314,0.04561339,0.003751202,0.009622715,0.006441506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9621446,0.000672561,0.03643747,0.00001110035,0.0002487908,0.00009600207,0.000007677685,0.00003953772,0.0003422567],"genre_scores_gemma":[0.995255,0.0003429025,0.004337196,0.000003609571,0.00003697311,0.000001385043,3.961291e-7,0.00001203407,0.00001048483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4757404,"threshold_uncertainty_score":0.4667796,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03578749556862165,"score_gpt":0.2303954435922184,"score_spread":0.1946079480235967,"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."}}