{"id":"W4307947526","doi":"10.3390/computers11110153","title":"A Systemic Mapping Study of Business Intelligence Maturity Models for Higher Education Institutions","year":2022,"lang":"en","type":"article","venue":"Computers","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; Holland College","funders":"","keywords":"Maturity (psychological); Capability Maturity Model; Higher education; Service Integration Maturity Model; Snowball sampling; Context (archaeology); Knowledge management; Business intelligence; Business; Computer science; Political science; Mathematics; Geography; Statistics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002221183,0.0001395619,0.0002036045,0.0003363332,0.0003875147,0.0001147376,0.00059125,0.00002644882,0.00007176717],"category_scores_gemma":[0.00001637138,0.0001437042,0.00004711923,0.001158291,0.00004137304,0.0008547406,0.0005201939,0.0001029684,0.000009750377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006643557,"about_ca_system_score_gemma":0.00009966561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006408825,"about_ca_topic_score_gemma":0.00001311383,"domain_scores_codex":[0.9989284,0.00001332759,0.0003472583,0.0003063064,0.0002328301,0.0001718636],"domain_scores_gemma":[0.9990022,0.00003699529,0.0002493376,0.0003378763,0.0003648194,0.000008763056],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001418954,0.003632127,0.003679441,0.002462547,0.0001210328,0.000005213881,0.0009635856,0.5645755,0.0002936081,0.3471583,0.01952688,0.0574398],"study_design_scores_gemma":[0.001389752,0.0001303991,0.02226892,0.0009742961,0.000347827,0.00005211331,0.01296915,0.6068879,0.00004910998,0.04052493,0.3127418,0.001663854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3715932,0.0003558697,0.6162506,0.0005755661,0.007557478,0.001712026,0.00002714657,0.0001772157,0.001750856],"genre_scores_gemma":[0.9978592,0.00000360799,0.0007603774,0.0004311411,0.0004475421,0.0002538095,0.00009530827,0.00001444453,0.0001345321],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.626266,"threshold_uncertainty_score":0.5860088,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1725180664576506,"score_gpt":0.3139558110201623,"score_spread":0.1414377445625117,"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."}}