{"id":"W2914422608","doi":"","title":"CASCON workshop on developing big data applications and services","year":2018,"lang":"en","type":"article","venue":"Computer Science and Software Engineering","topic":"Software System Performance and Reliability","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Big data; Data science; Computer science; Scalability; Analytics; Reliability (semiconductor); Business analytics; Business model; Business; Database; Data mining; Marketing; Electronic business","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":[0.02183832,0.00211532,0.0009108581,0.003819596,0.001836612,0.007507902,0.004105392,0.003041375,0.04176212],"category_scores_gemma":[0.01700945,0.0008691467,0.001450723,0.003358329,0.001946196,0.009837828,0.01012264,0.004816123,0.0183591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00291413,"about_ca_system_score_gemma":0.009300589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009131736,"about_ca_topic_score_gemma":0.01086639,"domain_scores_codex":[0.9891897,0.003291216,0.0005082451,0.001062587,0.004999181,0.0009490891],"domain_scores_gemma":[0.9772001,0.007731622,0.0005483234,0.003492334,0.004614628,0.006413005],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000172464,0.0001151464,0.0006108196,0.0004169768,0.00004452713,0.0001852868,0.0006074815,0.001500757,0.001838492,0.03750369,0.8104066,0.1465977],"study_design_scores_gemma":[0.00001785019,0.00002843626,0.000513383,0.0003209051,0.000008242903,0.00008064719,0.0002339964,0.001644191,0.0008725318,0.01030679,0.9859526,0.00002031781],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01160554,0.05978833,0.302956,0.1731333,0.04848667,0.002088528,0.01374535,0.01861502,0.3695813],"genre_scores_gemma":[0.0784996,0.08166432,0.2987845,0.02808651,0.01676976,0.002156377,0.04498659,0.0145284,0.4345239],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04176212,"threshold_uncertainty_score":0.1397082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03020488637322298,"score_gpt":0.2531083834349152,"score_spread":0.2229034970616922,"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."}}