{"id":"W4400347760","doi":"10.2139/ssrn.4886641","title":"Ensuring Privacy and Correlation Awareness in Multi-Dimensional Service Quality Prediction and Recommendation for Iot","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Technology and Data Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Internet of Things; Computer science; Correlation; Service (business); Quality (philosophy); Internet privacy; Quality of service; Computer security; Business; Computer network; Mathematics; Marketing","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":"codex-gemma-dda1882f352a","candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002765748,0.0001806573,0.000249427,0.0004065452,0.0002000161,0.0001575585,0.0003178061,0.000317377,0.000001367623],"category_scores_gemma":[0.0001110415,0.0001776664,0.00005513872,0.0002533814,0.00002283149,0.0002253944,0.0008992244,0.002401055,0.000001658226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004905703,"about_ca_system_score_gemma":0.001104593,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002538408,"about_ca_topic_score_gemma":0.002243936,"domain_scores_codex":[0.9980885,0.0001385598,0.0004535661,0.0005476508,0.0001350021,0.0006366703],"domain_scores_gemma":[0.9991931,0.0001291223,0.000263755,0.0002547254,0.0001160536,0.00004329948],"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":[0.0002390817,0.0003604884,0.09425649,0.000872097,0.00111506,0.000008163373,0.002670323,0.01379509,0.0009443315,0.3435766,0.000101216,0.5420612],"study_design_scores_gemma":[0.0006059649,0.0000525617,0.01962049,0.0001262552,0.00006529143,0.000134525,0.0001068387,0.5349535,0.00003627362,0.4440179,0.0001020853,0.0001782879],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3985913,0.001519715,0.5950234,0.004172877,0.0003777538,0.0001948954,0.00003141262,0.00008556686,0.000003053263],"genre_scores_gemma":[0.9880105,0.001036829,0.01057523,0.00007013392,0.0000763241,0.0000312745,0.000142209,0.00001316291,0.00004437637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5894191,"threshold_uncertainty_score":0.9999005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03679318895993312,"score_gpt":0.3216445630118543,"score_spread":0.2848513740519212,"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."}}