{"id":"W4401990363","doi":"10.2139/ssrn.4940693","title":"Domain-Adequacy of Ontologies with Statistically-Defined Concepts: A Disel Plug-In","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Domain (mathematical analysis); Plug-in; Computer science; Ontology; Software engineering; Data mining; Information retrieval; Mathematics; Programming language; Epistemology; Philosophy; Mathematical analysis","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":[0.01285901,0.001350584,0.001449021,0.005318796,0.0009668901,0.006683427,0.003129268,0.001886718,0.01257152],"category_scores_gemma":[0.04561593,0.001477398,0.002648432,0.001783784,0.001888313,0.009521766,0.009490889,0.002064984,0.004334666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138713,"about_ca_system_score_gemma":0.002555062,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002440606,"about_ca_topic_score_gemma":0.004418657,"domain_scores_codex":[0.9908715,0.003127816,0.001009298,0.001198244,0.003402669,0.0003904311],"domain_scores_gemma":[0.9751247,0.01630316,0.0008708888,0.005291388,0.001973518,0.0004363712],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002212493,0.001534385,0.02182637,0.002634956,0.0006790484,0.001740827,0.003023637,0.04602041,0.01598437,0.3249554,0.03176717,0.5476209],"study_design_scores_gemma":[0.0003894205,0.0001285285,0.003247446,0.0005202327,0.0002845394,0.0006940245,0.0006579849,0.6141558,0.03470932,0.2696836,0.07536719,0.0001618844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02919536,0.0002216005,0.8933497,0.0007719258,0.00008276296,0.0003500728,0.001749038,0.0669447,0.00733485],"genre_scores_gemma":[0.4011136,0.0003668359,0.5713688,0.0005146301,0.0001004481,0.000398637,0.006753293,0.01372173,0.005662042],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01285901,"threshold_uncertainty_score":0.06800574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01152157557197861,"score_gpt":0.2779124942470064,"score_spread":0.2663909186750277,"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."}}