{"id":"W4285596880","doi":"10.3390/merits2030010","title":"Investigating the Implementation of Toyota’s Human Resources Management Practices in the Aerospace Industry","year":2022,"lang":"en","type":"article","venue":"Merits","topic":"Quality and Supply Management","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Aerospace; Toyota Production System; Business; Context (archaeology); Best practice; Lean manufacturing; Flexibility (engineering); Production (economics); Human resource management; Human resources; Knowledge management; Process management; Engineering; Marketing; Management; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.01376442,0.0002382167,0.0003379211,0.001247251,0.00612762,0.004312286,0.001231871,0.0009399587,0.0009403895],"category_scores_gemma":[0.02118797,0.0003659579,0.0001879124,0.001439032,0.006208137,0.001830191,0.003604542,0.001073633,0.0001012764],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01177857,"about_ca_system_score_gemma":0.01388936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0683313,"about_ca_topic_score_gemma":0.1167841,"domain_scores_codex":[0.9848395,0.009888429,0.0006576647,0.0006874116,0.001888573,0.002038474],"domain_scores_gemma":[0.9803796,0.009915632,0.003464773,0.001027742,0.002890591,0.002321749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000654043,0.0001437557,0.05385346,0.000251353,0.00001411767,0.0006322623,0.908437,0.0001902188,0.005351861,0.001794266,0.0002997526,0.02896658],"study_design_scores_gemma":[0.000008988971,0.0002922372,0.09304931,0.0001973687,0.00001469515,0.0002171756,0.8963194,0.0004450105,0.0009897926,0.0002752815,0.008147169,0.00004348966],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996547,0.0001587004,0.0006555855,0.0005097578,0.000007016824,0.0000314823,0.000005088239,0.000005729395,0.002079656],"genre_scores_gemma":[0.9989983,0.00007473485,0.000541817,0.00008149123,0.000001740918,0.00001658835,0.000004036034,0.000002038965,0.0002791662],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0683313,"threshold_uncertainty_score":0.1358671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06038465576440812,"score_gpt":0.3299391705570052,"score_spread":0.2695545147925971,"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."}}