{"id":"W2808456988","doi":"10.5430/ijba.v9n4p15","title":"Information Technology Maturity Evaluation in a Large Brazilian Cosmetics Industry","year":2018,"lang":"en","type":"article","venue":"International Journal of Business Administration","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maturity (psychological); Exploratory research; Capability Maturity Model; Cosmetics; Knowledge management; Information technology; Business; Computer science; Thematic analysis; Process management; Marketing; Qualitative research; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00101329,0.0001425925,0.000173338,0.001311388,0.00007085215,0.0004287392,0.0005659499,0.0002730183,0.0005878833],"category_scores_gemma":[0.001153329,0.0001348295,0.0000409865,0.001236789,0.0001042365,0.005279746,0.0001121635,0.0003574833,0.0001277377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001254626,"about_ca_system_score_gemma":0.0002845726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002656625,"about_ca_topic_score_gemma":0.0001925141,"domain_scores_codex":[0.9980603,0.00001422993,0.000781321,0.0001087324,0.000857242,0.0001781904],"domain_scores_gemma":[0.9932235,0.00001942237,0.0009048693,0.0001511088,0.005688029,0.00001301754],"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":[0.002754359,0.002538228,0.3248993,0.0003687399,0.0002957705,0.0001751218,0.001068485,0.0007582469,0.003032517,0.1792412,0.01614455,0.4687235],"study_design_scores_gemma":[0.005200404,0.0001801691,0.6586556,0.001083439,0.0001955774,0.0005825665,0.003080519,0.03236002,0.004498003,0.0611008,0.2321697,0.0008931544],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9645237,0.00004172885,0.01802118,0.008335928,0.004203853,0.000249196,0.0000161527,0.0000384883,0.004569745],"genre_scores_gemma":[0.9967095,0.00001369456,0.000421398,0.0007313045,0.001962075,0.000007103083,0.000131893,0.000008553539,0.00001445618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4678303,"threshold_uncertainty_score":0.6436911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04320364846814831,"score_gpt":0.3376289774141826,"score_spread":0.2944253289460342,"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."}}