{"id":"W4382541166","doi":"10.18280/mmep.100322","title":"SCOR Racetrack to Improve Supply Chain Performance","year":2023,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Scheduling and Optimization Algorithms","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Computer science; Business; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002809042,0.0001984052,0.0002152301,0.0001825627,0.00005896613,0.00007974405,0.0001039021,0.00008944381,0.00001478225],"category_scores_gemma":[0.00003180766,0.0001919612,0.00003446874,0.0004008817,0.00001147352,0.00008907948,0.00003351915,0.0001904077,0.0002594851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002163906,"about_ca_system_score_gemma":0.000004610249,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000105833,"about_ca_topic_score_gemma":6.565337e-8,"domain_scores_codex":[0.9989673,0.000003707355,0.0002648769,0.0002076618,0.0001580618,0.0003983437],"domain_scores_gemma":[0.9995161,0.00007347845,0.00001145384,0.0001805215,0.00002618437,0.0001922857],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001070361,0.000006862418,0.000008026154,0.0005696464,0.0000134518,9.017438e-7,0.0005431011,0.9962815,0.0004874254,0.0005061328,0.00004680732,0.00153505],"study_design_scores_gemma":[0.0001456667,0.00002563973,0.00001383636,0.0002341278,0.000008174563,0.000005559652,0.00002275045,0.9979599,0.0008139694,0.0003266082,0.0001939296,0.0002498653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.241188,0.00008020168,0.7565747,0.00008975431,0.0002136463,0.000193439,0.000004155252,0.001410196,0.0002458241],"genre_scores_gemma":[0.7959001,0.0001984662,0.20311,0.00001975119,0.0001073456,0.0001108067,0.000008745592,0.00009249047,0.0004522722],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5547121,"threshold_uncertainty_score":0.7827952,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01591759871505453,"score_gpt":0.1997098334477974,"score_spread":0.1837922347327429,"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."}}