{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002253535,0.0002940485,0.0004040449,0.00196644,0.01167826,0.005019783,0.00124846,0.001330945,0.006165529],"category_scores_gemma":[0.005883087,0.000451105,0.0002409296,0.004303873,0.005222223,0.002684464,0.003144187,0.00161037,0.0006409349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02377555,"about_ca_system_score_gemma":0.01834183,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.4798355,"about_ca_topic_score_gemma":0.7080824,"domain_scores_codex":[0.9980181,0.0007996614,0.00007759188,0.0002057611,0.0004092576,0.0004896061],"domain_scores_gemma":[0.996651,0.001522899,0.0004468622,0.000252827,0.0005724624,0.0005540549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001248936,0.0003611321,0.05422466,0.0002120465,0.00002190104,0.002123546,0.8855218,0.0007866785,0.0007104419,0.02605361,0.004680524,0.02517871],"study_design_scores_gemma":[0.00001465137,0.00008254149,0.06708572,0.0001188602,0.00000977424,0.00007406991,0.8817548,0.0004529485,0.0002936764,0.001472899,0.04862035,0.00001971369],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618171,0.0003152753,0.0006783681,0.001825888,0.00001453753,0.00009797849,0.0001520436,0.00001595996,0.03508278],"genre_scores_gemma":[0.9834406,0.0004764584,0.0004980525,0.0001454443,0.00001009374,0.000040749,0.0001088931,0.00001978236,0.0152599],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5201645,"threshold_uncertainty_score":0.954085,"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."}}