{"id":"W1602136775","doi":"10.1145/3357384","title":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","year":2019,"lang":"en","type":"paratext","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":1292,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Knowledge management; Information retrieval; Data science; Library science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004647692,0.001211748,0.001957724,0.002143604,0.001392451,0.008654862,0.002115627,0.002174663,0.07575088],"category_scores_gemma":[0.006391718,0.0004886947,0.001003293,0.002338074,0.001578974,0.007761968,0.003539423,0.002952474,0.0297622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001589378,"about_ca_system_score_gemma":0.003295433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006086242,"about_ca_topic_score_gemma":0.007215056,"domain_scores_codex":[0.997592,0.0007416057,0.0002718945,0.0003534952,0.0007687813,0.0002722938],"domain_scores_gemma":[0.9954372,0.001424704,0.0001727142,0.001012507,0.001184339,0.0007686975],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002958645,0.0005556085,0.002701483,0.0006961639,0.0001512483,0.0003343486,0.0006269891,0.0005581045,0.003633192,0.01447761,0.4512008,0.5247687],"study_design_scores_gemma":[0.00002808723,0.00009114985,0.003021531,0.0006319672,0.000089835,0.0003232539,0.0008300076,0.005287878,0.00116344,0.01184021,0.976653,0.0000397045],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.03887697,0.1925828,0.1886181,0.05344242,0.04278981,0.001371679,0.006819418,0.008550033,0.4669489],"genre_scores_gemma":[0.1466198,0.1119716,0.1240033,0.008821812,0.007135483,0.001201571,0.03392385,0.001618827,0.5647037],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07575088,"threshold_uncertainty_score":0.2534119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03086995135401434,"score_gpt":0.2778860862749122,"score_spread":0.2470161349208979,"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."}}