{"id":"W829643941","doi":"10.4018/978-1-60960-842-2.ch014","title":"A Multi-Actor Ontology-Based Assistance Model","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université TÉLUQ","funders":"","keywords":"Computer science; Adaptation (eye); Ontology; Semantic Web; Workflow; Hierarchy; OWL-S; World Wide Web; Human–computer interaction; Knowledge management; Social Semantic Web; Database","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001128429,0.0005662763,0.0006564733,0.000080674,0.0001123539,0.0001189189,0.001860252,0.0006414487,0.00001673058],"category_scores_gemma":[0.00002805246,0.0005183332,0.0003181159,0.00001919113,0.000218997,0.00009780354,0.0003232197,0.0003287427,0.0002337572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002118696,"about_ca_system_score_gemma":0.0005763869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000975694,"about_ca_topic_score_gemma":0.0005421143,"domain_scores_codex":[0.9977092,0.00002243169,0.000425551,0.0009406962,0.0003630433,0.0005390542],"domain_scores_gemma":[0.99787,0.00004572557,0.0003207348,0.0014322,0.000147764,0.0001835702],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002170527,0.00002089611,0.0000258563,0.0000267726,0.00004896219,0.0001337915,0.00006258708,0.00002054683,0.00002273316,0.9946337,0.001286077,0.003696347],"study_design_scores_gemma":[0.001290958,0.0001891818,0.0004216989,0.0003199634,0.0001001599,0.00006100869,0.000004056753,0.05194762,0.0002102151,0.9241429,0.01975384,0.001558415],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.00002354793,0.0004002111,0.3551453,0.00007745396,0.00055922,0.0002019697,0.0000431945,0.0004417084,0.6431074],"genre_scores_gemma":[0.2643716,0.000008863177,0.5184918,0.003573655,0.0002113433,0.00007163439,0.000005236548,0.00009141267,0.2131744],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4299329,"threshold_uncertainty_score":0.9997268,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0605481887153261,"score_gpt":0.2656877600565885,"score_spread":0.2051395713412624,"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."}}