{"id":"W4288060487","doi":"10.18357/kula.155","title":"Semantic Encyclopedias and Boolean Dreams","year":2022,"lang":"en","type":"article","venue":"KULA knowledge creation dissemination and preservation studies","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Semantic Web; Social Semantic Web; Semantic Web Stack; Semantic search; World Wide Web; Semantic analytics; Knowledge base; Semantic technology; RDF; Encyclopedia; Generative grammar; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.005335029,0.0005545928,0.0005019667,0.007413357,0.00611368,0.02458491,0.001191066,0.002447515,0.0147096],"category_scores_gemma":[0.01075585,0.0004254421,0.0003620295,0.006479015,0.03411791,0.04458301,0.00886892,0.003430458,0.002441308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005746162,"about_ca_system_score_gemma":0.003871222,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005750724,"about_ca_topic_score_gemma":0.004062724,"domain_scores_codex":[0.9968109,0.001500786,0.0002820893,0.0004249561,0.0006514151,0.0003299059],"domain_scores_gemma":[0.9938192,0.003162381,0.0003641206,0.001387599,0.0009090428,0.0003577491],"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":[0.000007178418,0.00000195539,0.00003591093,0.00002409591,8.756587e-7,0.00002118407,0.00171849,0.00003669311,0.00002905228,0.9924919,0.002506308,0.003126322],"study_design_scores_gemma":[0.00001110274,0.000005034578,0.0001086297,0.0001625093,0.00000432826,0.0001326758,0.007391215,0.0001797397,0.0002196399,0.6429069,0.3488674,0.00001094262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02964082,0.02032273,0.03286058,0.0879274,0.001786903,0.00005904407,0.00107721,0.0006085815,0.8257169],"genre_scores_gemma":[0.8149201,0.01692309,0.01494782,0.007989839,0.001479643,0.0002544642,0.001318066,0.0007409461,0.1414261],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9754151,"threshold_uncertainty_score":0.04920846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04270416491844793,"score_gpt":0.4164685766715205,"score_spread":0.3737644117530726,"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."}}