{"id":"W6931709862","doi":"10.5281/zenodo.7317376","title":"The Toyota Lean Production System","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Quality and Management Systems","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Toyota Production System; Lean manufacturing; Lean laboratory; Production (economics); Production system (computer science); Lean project management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.002310526,0.0001002334,0.00009199051,0.0001752822,0.01007101,0.001460766,0.001011224,0.00001647555,0.002154135],"category_scores_gemma":[0.0002798083,0.00009002185,0.00004660816,0.0007146721,0.00007491298,0.000475564,0.002010018,0.0001996813,0.006459422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001617131,"about_ca_system_score_gemma":0.000001376395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008423359,"about_ca_topic_score_gemma":0.000001228863,"domain_scores_codex":[0.9985152,0.0001409431,0.0002392786,0.0003196165,0.0004981528,0.0002867854],"domain_scores_gemma":[0.9990849,0.00001197599,0.000180828,0.0004603067,0.0002458663,0.00001614376],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004792839,0.00006988339,0.00001049526,0.0002336431,0.000037461,0.000006770126,0.0001845865,0.0002893193,0.0002284548,0.3373742,0.6272311,0.0342862],"study_design_scores_gemma":[0.0001725987,0.000018875,0.0002300568,0.00001192987,0.00001469936,0.000019316,0.003320926,0.0007177209,0.000007940856,0.0003234872,0.9950483,0.0001141166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.05150224,0.000175866,0.0018895,0.01222796,0.00284599,0.002126203,0.00004462994,0.004096401,0.9250912],"genre_scores_gemma":[0.9921232,0.000007177437,0.000006646528,0.0003305199,0.0009614255,3.252514e-7,0.0004513811,0.0005750658,0.005544284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.940621,"threshold_uncertainty_score":0.9995758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0383708731159895,"score_gpt":0.2169707381205342,"score_spread":0.1785998650045448,"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."}}