{"id":"W2245305637","doi":"10.22230/src.2014v5n4a182","title":"Inference and Linking on the Humanist’s Semantic Web","year":2014,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Semantic Web; Computer science; Social Semantic Web; Semantic Web Stack; Semantic analytics; World Wide Web; Metadata; Linked data; Inference; sort; Semantic computing; Semantic grid; Information retrieval; Data Web; Data science; Web service; 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":[],"consensus_categories":[],"category_scores_codex":[0.01671793,0.0006002917,0.0009632321,0.007320308,0.004491123,0.01017758,0.002388349,0.003438334,0.005527121],"category_scores_gemma":[0.03333829,0.0009207539,0.00182529,0.004756439,0.01996706,0.02971825,0.008709322,0.00438138,0.00098038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003101644,"about_ca_system_score_gemma":0.003004527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006348086,"about_ca_topic_score_gemma":0.004540059,"domain_scores_codex":[0.9841784,0.01013626,0.000701811,0.001675242,0.002906211,0.0004020437],"domain_scores_gemma":[0.979932,0.01447837,0.0005521832,0.00369921,0.001014899,0.0003232568],"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":[0.0000108911,0.00001328439,0.0001934846,0.00003949719,0.00002059125,0.00008721116,0.001674364,0.002077336,0.00008957859,0.9839627,0.001136518,0.01069448],"study_design_scores_gemma":[0.00000436763,0.000002140378,0.00005427613,0.00003521523,0.000007056782,0.00003811115,0.0002837002,0.003377872,0.0002393398,0.9830305,0.01291991,0.000007576225],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01835044,0.002176082,0.8904469,0.02267807,0.0003484601,0.00009892574,0.0004039537,0.000656589,0.06484059],"genre_scores_gemma":[0.4889103,0.004536331,0.4866758,0.003694362,0.0007983539,0.0003073543,0.001231377,0.0004765912,0.01336939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01671793,"threshold_uncertainty_score":0.08841389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1179861607479678,"score_gpt":0.3682896988435321,"score_spread":0.2503035380955644,"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."}}