{"id":"W6998440354","doi":"","title":"Administración de procesos: caso de estudio Toronto Iron Works","year":2011,"lang":"es","type":"article","venue":"Americanae (AECID Library)","topic":"Diverse Applied Research Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Persona; Limiting; Latin Americans; Human being","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005190049,0.000481928,0.0006100511,0.00009696343,0.0009080187,0.000217763,0.001394008,0.0002442499,0.006994416],"category_scores_gemma":[0.0002693444,0.0004754131,0.0002262453,0.0008919838,0.002308507,0.001996604,0.0006726037,0.0004753866,0.0004475413],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005169054,"about_ca_system_score_gemma":0.001589491,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2447622,"about_ca_topic_score_gemma":0.001939478,"domain_scores_codex":[0.9956965,0.0004074139,0.000421641,0.0007880031,0.0008783737,0.001808044],"domain_scores_gemma":[0.9978451,0.0003214716,0.0003122064,0.0005448235,0.00006973282,0.000906694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003518441,0.001052936,0.6930315,0.000158332,0.0005300906,0.0006394804,0.063671,0.000004154092,0.00006644837,0.01268898,0.09737787,0.1304273],"study_design_scores_gemma":[0.0007356157,0.001020614,0.8057929,0.0002444192,0.0002098898,0.000006036251,0.1167968,0.0000265376,0.0006799155,0.000767631,0.07259821,0.001121412],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5539572,0.003943872,0.00006634148,0.001859051,0.0002663061,0.000730044,0.0000393878,0.0003742421,0.4387635],"genre_scores_gemma":[0.9665722,0.02045112,0.004420616,0.00105321,0.000698204,0.0001719559,0.000007574589,0.00008342913,0.006541698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4322219,"threshold_uncertainty_score":0.9997697,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02650860369442679,"score_gpt":0.3023944620321606,"score_spread":0.2758858583377338,"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."}}