{"id":"W2806042211","doi":"10.5267/j.msl.2018.5.0012","title":"Adoption of business intelligence insights towards inaugurate business performance of Malaysian halal food manufacturing","year":2018,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universiti Teknikal Malaysia Melaka","keywords":"Business; Process management; Business intelligence; Marketing; Knowledge management; Computer science","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":[0.002273194,0.0004013214,0.0001467489,0.002384102,0.0009479319,0.006625334,0.0003259851,0.0004977372,0.001224603],"category_scores_gemma":[0.00419516,0.0001263158,0.0002097191,0.00173238,0.001431035,0.00335254,0.001552189,0.0009920057,0.0002426292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003826108,"about_ca_system_score_gemma":0.001956849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00824064,"about_ca_topic_score_gemma":0.01194716,"domain_scores_codex":[0.9984874,0.0006161879,0.00008198072,0.000119855,0.0004705353,0.0002240287],"domain_scores_gemma":[0.996905,0.001106911,0.0007747161,0.0001174939,0.0007342444,0.0003616502],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002177583,0.0004614565,0.5969852,0.0003971234,0.000103978,0.001377815,0.1030218,0.003601167,0.003806684,0.0521311,0.003004505,0.2348913],"study_design_scores_gemma":[0.000008820063,0.0002931634,0.6144508,0.000983361,0.00007251731,0.0004141366,0.3138863,0.01843521,0.00576624,0.01536253,0.03023519,0.0000918673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9651752,0.0005394641,0.00132913,0.002637173,0.00001384533,0.00001870845,0.00006634443,0.00001176618,0.03020841],"genre_scores_gemma":[0.9988014,0.0002095909,0.0003728226,0.00004022254,0.000002773143,0.00000285896,0.0000189131,0.000001453878,0.0005501244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00824064,"threshold_uncertainty_score":0.02776051,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03628235205783283,"score_gpt":0.2451800787105483,"score_spread":0.2088977266527155,"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."}}