{"id":"W3160466159","doi":"10.1051/itmconf/20213803001","title":"Smart Data as a Service","year":2021,"lang":"en","type":"article","venue":"ITM Web of Conferences","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Computer science; Service (business); Data as a service; Perspective (graphical); Data science; Business; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002568309,0.0007582927,0.0008745431,0.001587075,0.001752084,0.01013896,0.002731323,0.004537695,0.01702413],"category_scores_gemma":[0.005827029,0.0005247486,0.0008766275,0.003476438,0.001904173,0.01382636,0.006616593,0.003527635,0.01199022],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0021372,"about_ca_system_score_gemma":0.003690138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003613212,"about_ca_topic_score_gemma":0.00187119,"domain_scores_codex":[0.9966562,0.0007164948,0.0002719505,0.000503023,0.00141231,0.0004400481],"domain_scores_gemma":[0.9962697,0.0006573645,0.0002358488,0.001259462,0.0008809636,0.0006965557],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00009847773,0.00007632169,0.0006853288,0.0003268266,0.00004578871,0.0003203174,0.0004393407,0.002429845,0.002279378,0.8197469,0.1031811,0.07037044],"study_design_scores_gemma":[0.00002368032,0.00004429031,0.0002156078,0.0001613731,0.00002683316,0.0003871691,0.0003030941,0.01692517,0.001357819,0.1540446,0.8264694,0.00004117722],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01088149,0.007884383,0.481932,0.05549696,0.005727864,0.0008549286,0.003652556,0.01006158,0.4235082],"genre_scores_gemma":[0.5142471,0.02254634,0.2186168,0.02137069,0.005256401,0.001252432,0.01117334,0.001909703,0.2036272],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01702413,"threshold_uncertainty_score":0.0569514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1681494640906338,"score_gpt":0.3245120623011935,"score_spread":0.1563625982105597,"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."}}