{"id":"W2125630428","doi":"10.5267/j.msl.2013.08.024","title":"An exploration study to find important factors influencing on decision support systems","year":2013,"lang":"en","type":"article","venue":"Management Science Letters","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Decision support system; Computer science; Process management; Knowledge management; Business; Artificial intelligence","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":[0.002775811,0.0003161893,0.0002471174,0.001481436,0.001073017,0.001660547,0.0003483451,0.0004409872,0.005178239],"category_scores_gemma":[0.01029409,0.0002699801,0.0004565228,0.001956875,0.0005882092,0.001841558,0.0006483961,0.0006416894,0.0004176847],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001187325,"about_ca_system_score_gemma":0.003418307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001840274,"about_ca_topic_score_gemma":0.002102892,"domain_scores_codex":[0.9981846,0.0008238954,0.0001554958,0.0001425705,0.0003884792,0.0003048647],"domain_scores_gemma":[0.9882221,0.008030322,0.001264979,0.0003203891,0.001334493,0.0008277311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003033649,0.002613856,0.8275759,0.0008512103,0.00008087829,0.001849715,0.07103159,0.0003848975,0.002149694,0.006158379,0.003151173,0.08384942],"study_design_scores_gemma":[0.00007571981,0.001724582,0.7426511,0.0005163241,0.0001872913,0.001538016,0.2158659,0.003967137,0.002672347,0.002477458,0.02825698,0.00006715027],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941959,0.0001739913,0.0008520453,0.0003654919,0.00001010588,0.0001569446,0.00009464181,0.000007096667,0.00414372],"genre_scores_gemma":[0.9970269,0.0002815411,0.001047488,0.00009293665,0.000008520554,0.00009812181,0.00009363269,0.000002819175,0.001348034],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005178239,"threshold_uncertainty_score":0.01732296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06718454836984163,"score_gpt":0.302110427109654,"score_spread":0.2349258787398124,"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."}}