{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02891671,0.003097794,0.002246051,0.005656125,0.001906688,0.01483912,0.005942624,0.004224994,0.07237338],"category_scores_gemma":[0.04858554,0.002337836,0.003259196,0.00397304,0.001439017,0.01189759,0.004934355,0.009089894,0.1278618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002943339,"about_ca_system_score_gemma":0.01293746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01519249,"about_ca_topic_score_gemma":0.01177268,"domain_scores_codex":[0.9801636,0.00441509,0.002634044,0.001973079,0.01006454,0.0007496695],"domain_scores_gemma":[0.9618024,0.009932733,0.001362773,0.008316888,0.01570315,0.002881994],"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":[0.0002256196,0.0004003232,0.000618392,0.0006261625,0.00006319116,0.0002801251,0.000163892,0.002900776,0.002381999,0.0200214,0.8270106,0.1453076],"study_design_scores_gemma":[0.00008111595,0.00008498414,0.0003503413,0.0004030257,0.00004347073,0.0002320125,0.00007127115,0.008900484,0.005452123,0.01037568,0.9739468,0.00005871278],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.005009859,0.006341586,0.5474913,0.02513409,0.01916684,0.003497309,0.099266,0.1391163,0.1549767],"genre_scores_gemma":[0.01758825,0.0101842,0.4443192,0.008372204,0.004227431,0.002399005,0.3117456,0.04471274,0.1564514],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.07237338,"threshold_uncertainty_score":0.2421131,"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."}}