{"id":"W4247550603","doi":"10.1007/978-1-4939-7131-2_100268","title":"Description Logics SROIQ","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science","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":[0.001871825,0.001004149,0.000728023,0.002235994,0.001055356,0.004766754,0.002118935,0.0009715955,0.02922069],"category_scores_gemma":[0.003426231,0.0007279668,0.001193115,0.003914623,0.002023099,0.008731295,0.002928924,0.003399366,0.01164389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00259949,"about_ca_system_score_gemma":0.001936889,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003869317,"about_ca_topic_score_gemma":0.002198644,"domain_scores_codex":[0.997883,0.000453625,0.0001759096,0.0003568577,0.001005205,0.000125308],"domain_scores_gemma":[0.999045,0.0004032835,0.00003742033,0.0001958373,0.0002819832,0.00003652453],"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":[0.00001620504,0.00001379347,0.00003262184,0.0002301806,0.00001136125,0.00002265779,0.0001155083,0.0007029373,0.0003264052,0.8698278,0.02950883,0.09919168],"study_design_scores_gemma":[0.000009429375,0.00000461759,0.00003135554,0.0001103654,0.00001217969,0.00007037497,0.00005070533,0.003072076,0.0008686135,0.6786769,0.3170815,0.00001187583],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002069453,0.009247971,0.7033963,0.004712056,0.001005446,0.0001461603,0.001889054,0.003215531,0.274318],"genre_scores_gemma":[0.1222726,0.02246611,0.5441812,0.004275015,0.001311276,0.0006677787,0.01123694,0.003942674,0.2896464],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02922069,"threshold_uncertainty_score":0.09775299,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06175121737028927,"score_gpt":0.2379141948975362,"score_spread":0.1761629775272469,"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."}}