{"id":"W4409346327","doi":"10.1109/ccwc62904.2025.10903848","title":"AROhI: An Interactive Toolkit for Estimating ROI of Data Analytics","year":2025,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Analytics; Data analysis; Data science; Data mining","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":[0.004474663,0.002019078,0.0008705781,0.003832715,0.0005737763,0.003470404,0.002238938,0.001313853,0.02076173],"category_scores_gemma":[0.02261598,0.001076164,0.001296246,0.001705261,0.0005584919,0.003248873,0.003279641,0.002107705,0.00632843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008444078,"about_ca_system_score_gemma":0.001992032,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00374312,"about_ca_topic_score_gemma":0.007306924,"domain_scores_codex":[0.9980175,0.0006144073,0.0001775976,0.00026843,0.0007795249,0.0001424776],"domain_scores_gemma":[0.990139,0.006876607,0.0005832664,0.001226871,0.0009659076,0.0002083475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001242856,0.0004013437,0.0133222,0.002107267,0.0004982091,0.0005873099,0.001422839,0.1307678,0.02120647,0.05646079,0.1506781,0.6213049],"study_design_scores_gemma":[0.0001178687,0.0001060878,0.002681608,0.0001558106,0.00006579606,0.0002165605,0.0002167859,0.8936778,0.02029439,0.02898378,0.05334844,0.0001351818],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005622177,0.0001741213,0.7612129,0.0002439521,0.000072335,0.0001877435,0.003094469,0.2242635,0.005128755],"genre_scores_gemma":[0.1111803,0.0002502166,0.8606319,0.000209305,0.00004453395,0.0007938055,0.005064793,0.01698657,0.004838656],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02076173,"threshold_uncertainty_score":0.06945491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03459431467968738,"score_gpt":0.3164514003308109,"score_spread":0.2818570856511236,"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."}}