{"id":"W4293166459","doi":"10.5539/cis.v15n4p1","title":"Uni-CARE: Universal Interface via Cloud Archive Repository Express","year":2022,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"H2020 European Research Council; National Science Foundation","keywords":"Computer science; Cloud computing; Interface (matter); Analytics; World Wide Web; User interface; Multimedia; Data science; Programming language; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002322877,0.00008384998,0.00007091669,0.000302184,0.0008393719,0.0006011765,0.0005920939,0.00001153668,0.00006385172],"category_scores_gemma":[0.00001020294,0.00007907647,0.00001756009,0.000679666,0.0002421719,0.01343562,0.001341865,0.0001110382,0.00005130167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003706523,"about_ca_system_score_gemma":0.00003901026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008940713,"about_ca_topic_score_gemma":7.290917e-7,"domain_scores_codex":[0.9991428,0.000006276874,0.0001827832,0.0001569102,0.0003486155,0.0001626199],"domain_scores_gemma":[0.9994664,0.00001518359,0.0001325532,0.0001963849,0.0001740682,0.00001536159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002387628,0.0001455298,0.006634098,0.0006697397,0.00002635098,0.00001708356,0.01567104,0.02568664,0.004921545,0.2814369,0.06585013,0.5987022],"study_design_scores_gemma":[0.0001966028,0.00002283559,0.003284103,0.00001819839,0.000006418897,0.00002470917,0.001408257,0.1937264,0.0003998844,0.0004010781,0.8003035,0.0002080465],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1020548,0.00007373575,0.8568215,0.0003654944,0.003799586,0.00023588,0.00001269923,0.0001574843,0.03647872],"genre_scores_gemma":[0.9975513,0.000004863626,0.0008440844,0.001247682,0.0002791194,0.000005307778,0.00003057618,0.000002670761,0.00003440982],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8954964,"threshold_uncertainty_score":0.9740503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01813988367058798,"score_gpt":0.2338861142939834,"score_spread":0.2157462306233955,"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."}}