{"id":"W2359695459","doi":"10.1016/j.procs.2016.04.114","title":"Conto: A Protégé Plugin for Configuring Ontologies","year":2016,"lang":"fr","type":"article","venue":"Procedia Computer Science","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Computer science; Plug-in; Abstraction; Domain (mathematical analysis); Ontology; Protégé; Data science; Domain knowledge; Data type; Information retrieval; Software engineering; Programming language; Semantic Web","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":[0.002635887,0.001942847,0.0008530953,0.002293543,0.0009454514,0.002629279,0.003058884,0.001792831,0.0123469],"category_scores_gemma":[0.008486061,0.002528506,0.001896793,0.0009743004,0.001227203,0.005230313,0.005992119,0.003315428,0.008561633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001030787,"about_ca_system_score_gemma":0.001560383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005373366,"about_ca_topic_score_gemma":0.006011161,"domain_scores_codex":[0.9986542,0.0002439307,0.0001385645,0.0002057521,0.0005666373,0.0001907941],"domain_scores_gemma":[0.9977132,0.001183815,0.000144801,0.0004606107,0.0002384336,0.0002591466],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002058109,0.0009865325,0.008027463,0.002617121,0.0006332281,0.004764151,0.004398823,0.01874512,0.02613808,0.06113162,0.5301591,0.3403406],"study_design_scores_gemma":[0.0003698277,0.0001447831,0.005613741,0.0007015266,0.0001449651,0.002696359,0.0004620629,0.09158631,0.02273147,0.04472334,0.8303427,0.0004829768],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"software","genre_gemma":"software","genre_scores_codex":[0.01060765,0.0005737956,0.4691487,0.0008052642,0.0004032623,0.0009845333,0.004015404,0.4955843,0.01787711],"genre_scores_gemma":[0.1567234,0.00221389,0.5872043,0.003854948,0.0003203666,0.003335802,0.03529758,0.1674248,0.04362482],"genre_candidate":"software","genre_consensus":"software","teacher_disagreement_score":0.0123469,"threshold_uncertainty_score":0.04130447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05554852715621697,"score_gpt":0.2937377120784633,"score_spread":0.2381891849222464,"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."}}