{"id":"W4288060410","doi":"10.18357/kula.169","title":"The Power to Structure","year":2022,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Metadata; World Wide Web; Computer science; Interoperability; Context (archaeology); Meaning (existential); Ontology; Data science; Situated; Data sharing; Knowledge management; Epistemology; Geography; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01382644,0.001318748,0.001265652,0.003951477,0.01058089,0.02296659,0.003229485,0.005496516,0.01665373],"category_scores_gemma":[0.02426181,0.001115505,0.001130992,0.00281837,0.1098151,0.04416332,0.02098676,0.008626061,0.006654543],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007552822,"about_ca_system_score_gemma":0.008821255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006750426,"about_ca_topic_score_gemma":0.005373746,"domain_scores_codex":[0.9855546,0.006199451,0.0006331851,0.003405238,0.003045146,0.001162469],"domain_scores_gemma":[0.9796179,0.007666106,0.00158512,0.007420051,0.002326077,0.001384639],"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":[0.000009783791,0.000007825391,0.0002096784,0.00005811575,0.0000115742,0.00003255472,0.004466722,0.0001336915,0.00009204816,0.9841369,0.00394876,0.006892347],"study_design_scores_gemma":[0.00001732974,0.0000177306,0.0001343583,0.000186447,0.00001530434,0.00009881803,0.001794862,0.0002480272,0.0002062558,0.7909938,0.2062633,0.00002378282],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01716482,0.01072578,0.1792356,0.09850149,0.003327052,0.0002208286,0.0004674726,0.0008288289,0.6895282],"genre_scores_gemma":[0.7331868,0.01035707,0.0880997,0.02727696,0.003785191,0.0009382023,0.0008467969,0.001549249,0.1339601],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9770334,"threshold_uncertainty_score":0.07312208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02864515189273641,"score_gpt":0.3502146982249096,"score_spread":0.3215695463321732,"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."}}