{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.007398751,0.00168738,0.001835117,0.002366376,0.003422132,0.009653723,0.003140054,0.002779985,0.7349582],"category_scores_gemma":[0.01480107,0.0007878657,0.001901028,0.002694307,0.0007094294,0.008021953,0.01007444,0.003588407,0.6615453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002115246,"about_ca_system_score_gemma":0.003807649,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005658773,"about_ca_topic_score_gemma":0.01271524,"domain_scores_codex":[0.996079,0.0008703259,0.0002377014,0.0009931077,0.001193816,0.0006259957],"domain_scores_gemma":[0.9893653,0.0009906421,0.0002379505,0.001906287,0.003090407,0.004409255],"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":[0.00005315666,0.00001495676,0.00006674745,0.00006403252,0.000002291412,0.00001211303,0.00003474701,0.000009698317,0.0001000981,0.000283355,0.9896125,0.00974608],"study_design_scores_gemma":[0.0000106995,0.00000808749,0.000187581,0.00004336258,0.000001031489,0.000007964877,0.00004559201,0.0000215097,0.00005232915,0.0002210289,0.9993947,0.000006089117],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001954975,0.0024914,0.01389318,0.02019073,0.07408495,0.003469022,0.1845688,0.02734625,0.6720006],"genre_scores_gemma":[0.004845178,0.001228172,0.006380737,0.006645634,0.005886578,0.004218383,0.109614,0.01424694,0.8469344],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2650418,"threshold_uncertainty_score":0.37805,"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."}}