{"id":"W3111135487","doi":"","title":"Lean Manufacturing y la aplicación de esta herramienta en empresas colombianas","year":2020,"lang":"es","type":"dissertation","venue":"Repositorio Institucional USC","topic":"Business, Innovation, and Economy","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Kanban; Humanities; Philosophy; Computer science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002440771,0.000719888,0.0004042109,0.003319229,0.003065845,0.007453991,0.0009471154,0.00088141,0.01004393],"category_scores_gemma":[0.004249277,0.0002588602,0.0004201999,0.003756643,0.002057912,0.002539463,0.001628899,0.001252076,0.001146215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01388173,"about_ca_system_score_gemma":0.01232882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1801473,"about_ca_topic_score_gemma":0.2761682,"domain_scores_codex":[0.9970463,0.0007107541,0.0001548996,0.0003782515,0.00129799,0.0004118442],"domain_scores_gemma":[0.9954506,0.001052173,0.0005514835,0.0003171673,0.00224206,0.00038658],"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":[0.0002866198,0.0001426733,0.02094037,0.003570567,0.00008620345,0.00101369,0.01468918,0.005316734,0.004044322,0.1189713,0.04436523,0.786573],"study_design_scores_gemma":[0.00001827134,0.0001015864,0.03298169,0.00283277,0.0001023899,0.0003350814,0.02474529,0.002748014,0.003324034,0.009367342,0.9233363,0.0001072299],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2302174,0.08691335,0.06457012,0.02861408,0.002184771,0.0004873843,0.00187429,0.002153438,0.5829852],"genre_scores_gemma":[0.8243438,0.0357016,0.04200816,0.002276177,0.0002440598,0.0002194766,0.0008629664,0.0003663573,0.09397741],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1801473,"threshold_uncertainty_score":0.3581976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01836053156971367,"score_gpt":0.2350049835683082,"score_spread":0.2166444519985946,"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."}}