{"id":"W2610518069","doi":"10.1609/aimag.v38i1.2720","title":"RuleML (Web Rule Symposium) 2016 Report","year":2017,"lang":"en","type":"article","venue":"AI Magazine","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"RuleML; World Wide Web; Web site; Library science; Computer science; XML; The Internet; Markup language; XHTML","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004479881,0.0001350436,0.0002016383,0.00008180841,0.0003995795,0.0006687144,0.001778786,0.00005127733,0.00007950915],"category_scores_gemma":[0.0001386703,0.0001140208,0.00009737838,0.0001022156,0.00007205315,0.0009713304,0.0007104055,0.0001195053,0.002668587],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001687701,"about_ca_system_score_gemma":0.0001103359,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007112046,"about_ca_topic_score_gemma":0.00001613365,"domain_scores_codex":[0.9986973,0.00002440257,0.000249027,0.0004837642,0.0002618912,0.0002835536],"domain_scores_gemma":[0.9967065,0.00002552476,0.00022705,0.002825097,0.00009474108,0.000121084],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000007063094,0.0001909904,0.0217708,0.00002776901,0.000169404,0.002642792,0.0001880611,0.00002768181,0.02775242,0.01000571,0.8475239,0.08969338],"study_design_scores_gemma":[0.0007616747,0.00008283232,0.03813445,0.0001102042,0.00007298002,0.0005029929,0.000005027439,0.03339773,0.002435939,0.003201451,0.9206592,0.0006355537],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06482842,0.0006182963,0.2467915,0.1663657,0.003656867,0.0003162511,0.000087818,0.001353072,0.5159821],"genre_scores_gemma":[0.8709425,0.0001505475,0.02668028,0.001537291,0.0005690164,0.00001593241,0.00004715273,0.00002494514,0.1000323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8061141,"threshold_uncertainty_score":0.998108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01443006697739965,"score_gpt":0.2735181898956566,"score_spread":0.2590881229182569,"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."}}