{"id":"W2966827261","doi":"10.1007/s00766-019-00322-z","title":"Expanding the nature and scope of requirements for service systems through Service-Dominant Logic: the case of a telemonitoring service","year":2019,"lang":"en","type":"article","venue":"Requirements Engineering","topic":"Service and Product Innovation","field":"Business, Management and Accounting","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Wilfrid Laurier University; Institut du Savoir Montfort; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Service design; Service (business); Metamodeling; Software engineering; Systems engineering; Requirements engineering; Service provider; Knowledge management; Process management; Engineering; Programming language; Business","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":[0.0009525125,0.0002743381,0.0003408629,0.0001349464,0.000198196,0.0001489741,0.0004401611,0.000122089,0.000009580631],"category_scores_gemma":[0.00006357843,0.0001822768,0.00005007538,0.001269748,0.00001178839,0.001207787,0.0002955231,0.000204925,0.000008930741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004130599,"about_ca_system_score_gemma":0.00001854951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001803351,"about_ca_topic_score_gemma":0.00008886658,"domain_scores_codex":[0.9983997,0.00001353926,0.000598778,0.0003330163,0.0002973421,0.0003576599],"domain_scores_gemma":[0.9981164,0.0001288405,0.0005074433,0.0005532174,0.000683988,0.00001011304],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005323917,0.0002749891,0.01145085,0.06107483,0.001215426,0.0000428926,0.004779323,0.04858279,0.7784139,0.0884293,0.0004711625,0.004732168],"study_design_scores_gemma":[0.01993857,0.0004777843,0.01591146,0.02162849,0.002945386,0.0006053087,0.05573621,0.5482745,0.225581,0.007700521,0.09587032,0.005330456],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919671,0.001250012,0.0005761028,0.002342763,0.001720487,0.001588437,0.000009300432,0.0000515854,0.0004942038],"genre_scores_gemma":[0.9964395,0.0000352331,0.0003282682,0.002212589,0.0008167197,0.00008337008,0.00002430842,0.0000441404,0.00001591639],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5528329,"threshold_uncertainty_score":0.7433032,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03715026689893924,"score_gpt":0.2834308658578042,"score_spread":0.2462805989588649,"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."}}