{"id":"W4389791672","doi":"10.31294/imtechno.v4i2.1975","title":"Perbaikan Ulang Tata Letak Gudang Penyimpanan Barang Menggunakan Metode Dedicated Storage Di Pt. Intertek Utama Services","year":2023,"lang":"id","type":"article","venue":"IMTechno Journal of Industrial Management and Technology","topic":"Management and Optimization Techniques","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Intertek (Canada)","funders":"","keywords":"Physics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007164095,0.001010368,0.0008317616,0.001014974,0.001549945,0.0046194,0.001653356,0.001079128,0.07796795],"category_scores_gemma":[0.001490502,0.0006648651,0.0006456579,0.001465171,0.0007092212,0.004055782,0.003595372,0.001350751,0.0274105],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001372258,"about_ca_system_score_gemma":0.002068104,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005106164,"about_ca_topic_score_gemma":0.004814219,"domain_scores_codex":[0.9989479,0.0001049776,0.00006785369,0.0002680389,0.0004462786,0.0001648426],"domain_scores_gemma":[0.9987413,0.0002017713,0.00009409904,0.0003092105,0.0004869818,0.0001667156],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00189031,0.0003711618,0.008577484,0.00214254,0.0001153773,0.001971445,0.003380626,0.004470046,0.1870342,0.0345723,0.07531084,0.6801637],"study_design_scores_gemma":[0.00007297615,0.0004167494,0.01104351,0.000287046,0.000114009,0.001860428,0.002330048,0.01054261,0.08277464,0.007986375,0.8824417,0.0001298936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1890151,0.009449234,0.2178854,0.004955539,0.002318208,0.0008805,0.007057142,0.02332815,0.5451107],"genre_scores_gemma":[0.4974264,0.004273663,0.08121374,0.000912451,0.0004419322,0.0005055919,0.004614539,0.003211717,0.4074],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07796795,"threshold_uncertainty_score":0.2608287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02133230939640404,"score_gpt":0.2368193072322252,"score_spread":0.2154869978358211,"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."}}