{"id":"W24693550","doi":"","title":"Special Considerations for Business Intelligence Projects","year":2009,"lang":"en","type":"article","venue":"The open source business resource","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Business intelligence; Business; Computer science; Knowledge management","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01331847,0.0008679731,0.001424321,0.002609093,0.008104448,0.01273565,0.00226675,0.03074425,0.05932419],"category_scores_gemma":[0.06095976,0.001065663,0.001427855,0.001432387,0.002820401,0.008513859,0.005298521,0.01523697,0.02499874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001809785,"about_ca_system_score_gemma":0.007151028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004660648,"about_ca_topic_score_gemma":0.01561733,"domain_scores_codex":[0.9855551,0.002947613,0.001437071,0.001177996,0.006416089,0.002466172],"domain_scores_gemma":[0.9429561,0.01811986,0.002235265,0.006952782,0.01643306,0.01330293],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007483775,0.00004680324,0.000659766,0.0001647763,0.00001327866,0.0008080897,0.0003893913,0.0001000041,0.0009284398,0.03804843,0.9314207,0.02734543],"study_design_scores_gemma":[0.00001438939,0.00003659361,0.001564142,0.0001549903,0.00001280967,0.0006010785,0.0004267491,0.0001076453,0.0001763568,0.007493687,0.9893778,0.00003372408],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.007739977,0.008197402,0.007117863,0.4183783,0.1275311,0.0003798165,0.0004454056,0.002231786,0.4279784],"genre_scores_gemma":[0.05082745,0.003384428,0.01029801,0.2283874,0.05858413,0.0005901661,0.0005071286,0.001531423,0.6458898],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.05932419,"threshold_uncertainty_score":0.1984592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1013525123944212,"score_gpt":0.3054616350340638,"score_spread":0.2041091226396425,"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."}}