{"id":"W3125361014","doi":"10.3390/informatics8010003","title":"Thai Tattoo Wisdom’s Representation of Knowledge by Ontology","year":2021,"lang":"en","type":"article","venue":"Informatics","topic":"Multimedia Communication and Technology","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Humanities Research Group, University of Windsor; Khon Kaen University","keywords":"Ontology; Computer science; Automation; Process ontology; Domain (mathematical analysis); Suggested Upper Merged Ontology; Quality (philosophy); Upper ontology; Representation (politics); Knowledge representation and reasoning; Protégé; Ontology-based data integration; Information retrieval; Domain knowledge; Knowledge management; Data science; Artificial intelligence; Engineering; Mathematics; Semantic Web; Political science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001288705,0.0002701954,0.0002037675,0.002168956,0.001416086,0.004781746,0.000627397,0.0006010454,0.004368745],"category_scores_gemma":[0.003280734,0.0002462955,0.0004874776,0.002613624,0.003047247,0.005727732,0.002288188,0.0008813168,0.0005918982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001908352,"about_ca_system_score_gemma":0.003028242,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01717712,"about_ca_topic_score_gemma":0.02087676,"domain_scores_codex":[0.9988639,0.0004091336,0.0001317541,0.0001542757,0.0003542958,0.00008671908],"domain_scores_gemma":[0.9983609,0.0005245624,0.0001512663,0.000425699,0.0004232838,0.0001142181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000799271,0.00004177794,0.005499555,0.0004507902,0.00004984501,0.0008626091,0.03624126,0.008594268,0.002733321,0.7370847,0.009101923,0.1992602],"study_design_scores_gemma":[0.00002801347,0.00008244044,0.007328895,0.0005775832,0.000116684,0.001615102,0.02924287,0.06731191,0.003971519,0.4455497,0.4440594,0.000115932],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1552699,0.002090475,0.4977776,0.00766657,0.0003219978,0.0003089747,0.0008445042,0.0008300708,0.3348899],"genre_scores_gemma":[0.7842076,0.001246138,0.1861818,0.0003661043,0.00003673355,0.0001514847,0.0006356763,0.0001362169,0.02703822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01717712,"threshold_uncertainty_score":0.03415424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04248236596258875,"score_gpt":0.3800590985255695,"score_spread":0.3375767325629807,"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."}}