{"id":"W2545943971","doi":"10.1145/2837060.2837072","title":"FIMaaS","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Mining Algorithms and Applications","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Popularity; Scalability; Variety (cybernetics); Data science; Big data; Service (business); Schedule; Cloud computing; Knowledge extraction; World Wide Web; Data mining; Database; Business; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.00006616257,0.00001889742,0.00001938303,0.00001042992,0.00001612169,0.00005580748,0.0003294146,0.000006335465,0.000007062491],"category_scores_gemma":[0.000008598365,0.00001492298,0.000005578035,0.0001025972,0.000005513643,0.000167127,0.00009705403,0.00001453278,0.0005189662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004470262,"about_ca_system_score_gemma":0.00002129825,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002138697,"about_ca_topic_score_gemma":0.000001152698,"domain_scores_codex":[0.9997717,0.000002722838,0.00003202567,0.00008254145,0.00005858302,0.00005242542],"domain_scores_gemma":[0.999657,0.000006589607,0.000006319875,0.0002507833,0.0000213868,0.00005790269],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[5.946828e-8,0.00001372896,0.00004356609,1.82924e-7,8.884878e-7,8.254886e-7,0.0001142255,0.000001254002,0.00001498418,0.5563515,0.1335885,0.3098703],"study_design_scores_gemma":[0.0001522726,0.00002901478,0.0006045061,0.000001222002,7.260159e-7,0.0000120912,0.00004626077,0.1954935,0.0006617548,0.02424397,0.7786552,0.00009952093],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005225329,0.00001026538,0.9205368,0.001803078,0.00005919201,0.00001566397,6.279622e-7,0.0001306786,0.07692114],"genre_scores_gemma":[0.03593801,6.939452e-7,0.9595799,0.0004998148,0.00003451269,0.000007456618,0.000002006361,0.000001390746,0.00393617],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6450667,"threshold_uncertainty_score":0.6670434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06047956322618069,"score_gpt":0.2758004244980998,"score_spread":0.2153208612719191,"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."}}