{"id":"W3137083016","doi":"10.5555/2872518.3251222","title":"Session details: USEWOD'16","year":2016,"lang":"en","type":"article","venue":"The Web Conference","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; World Wide Web; Session (web analytics); Linked data; Publication; SPARQL; Semantic Web; Field (mathematics); Information retrieval; Resource (disambiguation); Data science; RDF","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002722124,0.0001054647,0.0001150122,0.0000312608,0.0001227282,0.0001186449,0.001485941,0.0000449688,0.0001281685],"category_scores_gemma":[0.0001259454,0.00004444219,0.00003889802,0.0001217703,0.0001249461,0.0003160349,0.0003673803,0.00006676889,0.0005541359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002114789,"about_ca_system_score_gemma":0.0001320834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003365745,"about_ca_topic_score_gemma":0.00007759801,"domain_scores_codex":[0.9990808,0.0000938212,0.0001310547,0.0002479896,0.0001897959,0.0002565434],"domain_scores_gemma":[0.9987321,0.0003030579,0.00006121308,0.00078259,0.00007258832,0.0000484285],"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":[0.000009484877,0.00002985755,0.005380195,0.000006986259,0.00001461432,0.00001209385,0.0004834264,6.142199e-7,0.03123608,0.5676491,0.005542415,0.3896351],"study_design_scores_gemma":[0.003122099,0.0004690644,0.1333222,0.0009015831,0.00005516574,0.0002216893,0.0007301726,0.02208832,0.1600679,0.4735667,0.2036906,0.001764618],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2080835,0.0001966388,0.7437907,0.02355886,0.0006887669,0.0001483565,0.000001732099,0.0004404741,0.02309088],"genre_scores_gemma":[0.995721,0.0001078038,0.001772921,0.0004162547,0.00004568018,0.000008779254,1.091146e-7,0.00000363367,0.001923831],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7876375,"threshold_uncertainty_score":0.7122481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04630043380837243,"score_gpt":0.2625216711538645,"score_spread":0.2162212373454921,"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."}}