{"id":"W3088527583","doi":"10.3390/sym12091575","title":"Adaptive Mechanism Model for the Prevention of SLA Violation in the Context of COPD Patient Monitoring","year":2020,"lang":"en","type":"article","venue":"Symmetry","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Chicoutimi","keywords":"Computer science; Context (archaeology); Service-level agreement; Quality of service; Control (management); Service (business); Data quality; Quality (philosophy); Computer network; Artificial intelligence; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002821286,0.0004848213,0.0005166897,0.0008705776,0.0008735399,0.002084937,0.00193256,0.001326359,0.002907896],"category_scores_gemma":[0.004754008,0.000277882,0.001062216,0.0004417032,0.0007757195,0.002703869,0.001553305,0.001414821,0.0005168659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084273,"about_ca_system_score_gemma":0.002424533,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004325814,"about_ca_topic_score_gemma":0.002386386,"domain_scores_codex":[0.9977946,0.0005191358,0.0002342688,0.0004988121,0.0005747098,0.0003783657],"domain_scores_gemma":[0.9978187,0.0006461309,0.0003265723,0.0003559785,0.0006520402,0.0002005326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009192167,0.0008984125,0.0134754,0.0005154522,0.0002677918,0.001751206,0.00186677,0.4303876,0.0333168,0.3019767,0.008965611,0.205659],"study_design_scores_gemma":[0.00005443305,0.0001423194,0.0008908085,0.00003028015,0.00007884024,0.0002026074,0.0001328846,0.9619968,0.003701693,0.02517053,0.007560753,0.00003809241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03102032,0.0001906816,0.9611789,0.0005449739,0.0001820417,0.0002588689,0.0001048001,0.001420128,0.005099191],"genre_scores_gemma":[0.8296066,0.0002345103,0.1651127,0.0002573907,0.00009821529,0.0003927784,0.0002373728,0.00008736606,0.003972954],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004325814,"threshold_uncertainty_score":0.01492053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03103091347739102,"score_gpt":0.2557311227904503,"score_spread":0.2247002093130593,"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."}}