{"id":"W1199191137","doi":"","title":"Environmental Scanning and Business Insight Capability: _x000D_ The Role of Business Analytics and Knowledge Integration.","year":2015,"lang":"en","type":"article","venue":"Americas Conference on Information Systems","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Analytics; Knowledge management; Business analytics; Business; Business process; Process (computing); Computer science; Process management; Data science; Business analysis; Marketing; Business model; Work in process","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":[0.005358562,0.0002030921,0.0001049993,0.002014961,0.001195721,0.00646237,0.0004521059,0.0008783554,0.009738136],"category_scores_gemma":[0.01867576,0.0002006629,0.0002965833,0.001644208,0.004405016,0.00807698,0.005685128,0.001260982,0.0005318943],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001105433,"about_ca_system_score_gemma":0.002334357,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002743179,"about_ca_topic_score_gemma":0.002372565,"domain_scores_codex":[0.9962213,0.002119183,0.0001121178,0.0002055759,0.0009607396,0.0003810291],"domain_scores_gemma":[0.9643672,0.02494604,0.0049092,0.0008784452,0.002690145,0.002209045],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003196778,0.001089681,0.3591379,0.0009535037,0.0001602332,0.001401165,0.07326148,0.001418718,0.003564696,0.2246494,0.01088884,0.3231547],"study_design_scores_gemma":[0.00006098994,0.0005652583,0.4724594,0.001783855,0.0001511702,0.00280503,0.2045241,0.009290881,0.006508923,0.1878718,0.1137896,0.0001891097],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6949361,0.003189347,0.007570261,0.01802081,0.00005580943,0.0000952114,0.0001466923,0.0001018858,0.2758838],"genre_scores_gemma":[0.9953315,0.000494009,0.001656855,0.0002287476,0.00001300979,0.00001315479,0.00002768546,0.000008570081,0.002226486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009738136,"threshold_uncertainty_score":0.03257734,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06440307669890788,"score_gpt":0.2659875943046441,"score_spread":0.2015845176057363,"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."}}