{"id":"W2985772508","doi":"10.5703/1288284317068","title":"What Are We Doing? Capturing the Uncaptured: Workload Data to Demonstrate Service","year":2019,"lang":"en","type":"article","venue":"","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Purdue Pharma (Canada)","funders":"","keywords":"Computer science; Service (business); Workload; Task (project management); Categorization; Data as a service; World Wide Web; Database; Services computing; Database transaction; Web service; Data science; Engineering; Business; Artificial intelligence","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":[0.007152687,0.0005216174,0.0004478827,0.007186892,0.001030515,0.004611555,0.0009711856,0.0007457315,0.004215178],"category_scores_gemma":[0.04974819,0.0002547709,0.000411248,0.008887945,0.0007920472,0.006514307,0.001676144,0.001091744,0.002533562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002481257,"about_ca_system_score_gemma":0.002242497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0154116,"about_ca_topic_score_gemma":0.02110868,"domain_scores_codex":[0.9938833,0.001957013,0.0007919515,0.0007106306,0.00204795,0.0006092494],"domain_scores_gemma":[0.9497066,0.01979508,0.00642209,0.006392143,0.01485591,0.002828273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002912435,0.0004372192,0.609148,0.0005721839,0.00009632123,0.0001944327,0.02783643,0.001552199,0.004210581,0.01186509,0.03451661,0.3092797],"study_design_scores_gemma":[0.00002836386,0.0004783526,0.7624546,0.0005011295,0.0000728992,0.0002628711,0.07099789,0.02396235,0.008168927,0.01850365,0.1143164,0.0002525741],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8384579,0.0004846748,0.06532657,0.005388767,0.0002900303,0.000923978,0.03216304,0.001157776,0.05580728],"genre_scores_gemma":[0.9035164,0.0003603406,0.07138781,0.0006273291,0.0001225344,0.0008585295,0.01567191,0.0003141413,0.007140981],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0154116,"threshold_uncertainty_score":0.03782749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3300483771517608,"score_gpt":0.4184693254346535,"score_spread":0.08842094828289265,"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."}}