{"id":"W2136190424","doi":"10.1145/2740908.2742022","title":"What's in this paper?","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Workflow; Linked data; RDF; Information retrieval; Semantic Web; Task (project management); Construct (python library); Entity linking; Knowledge base; Named entity; Semantic search; Natural language processing; World Wide Web; Database; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.0001716395,0.00003646811,0.0000567514,0.00003344176,0.000008042292,0.000158542,0.0003865267,0.00002312702,0.00004479627],"category_scores_gemma":[0.00004083194,0.00002631536,0.00001130757,0.0001307445,0.00001204164,0.001204134,0.0001201381,0.00003282555,0.0002532824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001255841,"about_ca_system_score_gemma":0.00003421335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001852168,"about_ca_topic_score_gemma":0.0002329188,"domain_scores_codex":[0.9995874,0.00001735362,0.00006702341,0.0001193316,0.00009648839,0.0001123716],"domain_scores_gemma":[0.9996662,0.00003078361,0.000009159966,0.0002376467,0.00001848477,0.00003772248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000005008246,0.00009548299,0.01415936,0.000005394226,0.000005852178,0.0001318243,0.0068205,0.00003504785,0.0001744591,0.6302701,0.08295653,0.2653404],"study_design_scores_gemma":[0.003198743,0.0004438368,0.09362425,0.0001087956,0.000005272305,0.0001166593,0.01096016,0.0916836,0.008833815,0.3301181,0.4597681,0.001138649],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1191162,0.002543385,0.1356395,0.04483979,0.004948215,0.0002079571,7.048619e-8,0.0008732197,0.6918317],"genre_scores_gemma":[0.95907,0.00005120728,0.03306575,0.002800272,0.00003302027,0.000004040193,1.348019e-7,0.000002040902,0.004973508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8399538,"threshold_uncertainty_score":0.3255518,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04874876823160038,"score_gpt":0.2741417308362887,"score_spread":0.2253929626046883,"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."}}