{"id":"W4401117170","doi":"10.5206/elip.v6i1.16735","title":"Choosing the Sweet Life with DOLCE","year":2024,"lang":"en","type":"article","venue":"Emerging Library & Information Perspectives","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Ontology; Computer science; Process ontology; Formal ontology; Ontology components; Context (archaeology); Upper ontology; Ontology engineering; Philosophy of science; Domain (mathematical analysis); Ontology-based data integration; Commit; Information retrieval; Epistemology; Suggested Upper Merged Ontology; Data science; Philosophy; Semantic Web; Database; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.01516312,0.0006862751,0.001071526,0.005023924,0.007602915,0.01401089,0.001573831,0.004708828,0.004544433],"category_scores_gemma":[0.02284576,0.0005286331,0.0008160041,0.004982962,0.03234924,0.03866751,0.009379134,0.009658908,0.001273111],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009053056,"about_ca_system_score_gemma":0.005662386,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009061256,"about_ca_topic_score_gemma":0.01233655,"domain_scores_codex":[0.9880051,0.007189959,0.0004425761,0.0008958522,0.002897251,0.0005692032],"domain_scores_gemma":[0.9894246,0.006696348,0.0004285227,0.001188792,0.001672751,0.0005890082],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001041407,0.000004558012,0.00006480444,0.00003683301,0.000003496516,0.00002807749,0.002077756,0.00005494995,0.00003934151,0.9867355,0.003394815,0.007549417],"study_design_scores_gemma":[0.000007837737,0.00001108404,0.00009205966,0.0002694666,0.000007074778,0.0001057079,0.005658816,0.0004405827,0.0002375533,0.749382,0.2437665,0.00002130132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02646807,0.04272574,0.2101538,0.3036983,0.005674021,0.0001009899,0.000216377,0.000577089,0.4103856],"genre_scores_gemma":[0.6904969,0.03220638,0.1640486,0.05467138,0.002142136,0.0004022352,0.0002390882,0.001142416,0.05465092],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01516312,"threshold_uncertainty_score":0.08019114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006595063739868802,"score_gpt":0.2120516734803015,"score_spread":0.2054566097404327,"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."}}