{"id":"W4206551694","doi":"10.7717/peerj-cs.788","title":"Ambient intelligence governance review: from service-oriented to self-service","year":2022,"lang":"en","type":"article","venue":"PeerJ Computer Science","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Ambient intelligence; Computer science; Interoperability; Service-oriented architecture; Service (business); Context (archaeology); Context awareness; Adaptation (eye); Architecture; Ubiquitous computing; Process (computing); Corporate governance; Knowledge management; Process management; Data science; World Wide Web; Artificial intelligence; Web service; Human–computer interaction; Engineering; 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":[0.004664428,0.0008670379,0.001765207,0.01063165,0.0007623219,0.003951237,0.001241683,0.001992355,0.00291083],"category_scores_gemma":[0.01602273,0.0004993144,0.001179681,0.01719175,0.001764971,0.004446758,0.001279928,0.001894908,0.001046433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003372427,"about_ca_system_score_gemma":0.01006375,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005133091,"about_ca_topic_score_gemma":0.006833971,"domain_scores_codex":[0.9958293,0.001413007,0.0009764362,0.0004553404,0.001114369,0.0002116548],"domain_scores_gemma":[0.9828271,0.01162437,0.001684004,0.0003456943,0.003209064,0.0003098118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008492707,0.00006205757,0.001226778,0.166629,0.0004270299,0.000367957,0.001353137,0.0009674366,0.0005194813,0.04828183,0.05704862,0.7230318],"study_design_scores_gemma":[0.00001839247,0.0001048483,0.002274102,0.1109025,0.0005685116,0.0007774142,0.001146205,0.0002375202,0.0003524541,0.01138131,0.8722015,0.00003519592],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001862903,0.9959714,0.0004398737,0.001486897,0.0004566066,0.00001297302,0.00002589251,0.000007668899,0.001412486],"genre_scores_gemma":[0.003315323,0.9948671,0.0004553838,0.0006996866,0.0003411658,0.00002393247,0.00005054623,0.00000508818,0.0002416362],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01063165,"threshold_uncertainty_score":0.0246681,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02219663327169951,"score_gpt":0.2595324949954096,"score_spread":0.2373358617237101,"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."}}