{"id":"W2194354413","doi":"10.1007/s10209-015-0442-z","title":"Proactive and reactive e-government services recommendation","year":2015,"lang":"en","type":"article","venue":"Universal Access in the Information Society","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":45,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Government (linguistics); Computer science; E-Government; Order (exchange); Service (business); Recommender system; World Wide Web; Services computing; Internet privacy; Knowledge management; Business; Web service; Information and Communications Technology; 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":[],"consensus_categories":[],"category_scores_codex":[0.0006371917,0.00007299177,0.00006973113,0.00002619837,0.00007804683,0.000396279,0.000555801,0.00004608502,0.000001533516],"category_scores_gemma":[0.000006763312,0.00005241701,0.0000252622,0.000226782,0.00001848222,0.008117275,0.0002707586,0.0001110549,0.000002732229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002064826,"about_ca_system_score_gemma":0.00002955612,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000225689,"about_ca_topic_score_gemma":0.00001114439,"domain_scores_codex":[0.9993465,0.00006308532,0.0001564416,0.00008681123,0.0002524508,0.00009471384],"domain_scores_gemma":[0.9995287,0.00005322178,0.0001604515,0.0001539438,0.00007267236,0.00003102947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005313943,0.0001583863,0.008511687,0.000135132,0.0001250543,0.000001964753,0.4697644,0.00007451185,0.00001274286,0.1704341,0.03007446,0.3206544],"study_design_scores_gemma":[0.002968212,0.0002976198,0.01754995,0.0001085126,0.00002338927,0.00005333211,0.2282093,0.2260873,0.002911468,0.0299773,0.49106,0.000753687],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04152004,0.00002318334,0.7685242,0.0108848,0.0004226604,0.001235009,0.0000177744,0.0002899223,0.1770824],"genre_scores_gemma":[0.9913863,0.00003284303,0.006800002,0.001698632,0.0000210286,0.00002346505,0.0000116311,0.000002098541,0.00002401619],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9498662,"threshold_uncertainty_score":0.5884829,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03056468682575336,"score_gpt":0.2716641740222053,"score_spread":0.241099487196452,"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."}}