{"id":"W2482570748","doi":"10.4018/ijbir.2016010101","title":"Business Intelligence and Analytics Research","year":2016,"lang":"en","type":"article","venue":"International Journal of Business Intelligence Research","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Business intelligence; Sociotechnical system; Computer science; Analytics; Process (computing); Heuristic; Knowledge management; Big data; Data science; Business analytics; Constraint (computer-aided design); Management science; Artificial intelligence; Business model; Business; Data mining; Marketing; Business analysis","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009883602,0.0009779489,0.001185848,0.005780896,0.002212084,0.01435938,0.001387387,0.002971483,0.01786827],"category_scores_gemma":[0.01920931,0.0004561009,0.00067675,0.01087744,0.00636932,0.0105269,0.003692597,0.003764501,0.007745324],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00444385,"about_ca_system_score_gemma":0.00882495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003052977,"about_ca_topic_score_gemma":0.002176396,"domain_scores_codex":[0.9885583,0.004685655,0.0007714811,0.00161292,0.003809422,0.0005621205],"domain_scores_gemma":[0.982026,0.01034294,0.001038171,0.002539799,0.00279659,0.001256466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003548498,0.0000886554,0.002584048,0.001344835,0.0000993982,0.0001868926,0.001263875,0.0008726179,0.0003957841,0.7477406,0.05934486,0.1860429],"study_design_scores_gemma":[0.00001316132,0.00005054777,0.002188628,0.00181062,0.0000257497,0.0003132887,0.001444514,0.001351059,0.0003345867,0.4697953,0.5226466,0.00002584888],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00760101,0.258202,0.05217217,0.09018448,0.004807375,0.0003633221,0.001225263,0.0005577421,0.5848866],"genre_scores_gemma":[0.3565318,0.4086508,0.08868887,0.0212732,0.01015005,0.0008298001,0.002828067,0.0004430241,0.1106044],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01786827,"threshold_uncertainty_score":0.05977535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3507662412572711,"score_gpt":0.4536023237183622,"score_spread":0.1028360824610912,"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."}}