{"id":"W2763817197","doi":"10.1108/ijwis-04-2017-0037","title":"Set of tuples expansion by example with reliability","year":2017,"lang":"en","type":"article","venue":"International Journal of Web Information Systems","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Tuple; Information retrieval; PageRank; Web page; Relation (database); Set (abstract data type); Web search engine; Web search query; HITS algorithm; Data mining; Search engine; Algorithm; World Wide Web; Mathematics; Discrete mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.003820803,0.0009888042,0.001143506,0.003655238,0.0008894146,0.002688497,0.002130611,0.000848122,0.008089868],"category_scores_gemma":[0.02664425,0.0007166318,0.002602347,0.003916012,0.001650254,0.007650068,0.003939877,0.002118425,0.002815143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008851215,"about_ca_system_score_gemma":0.001041609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001806129,"about_ca_topic_score_gemma":0.001641329,"domain_scores_codex":[0.9922982,0.002019512,0.0006815783,0.00135117,0.003319946,0.0003295676],"domain_scores_gemma":[0.9835188,0.009724739,0.0008569665,0.004092599,0.001577794,0.0002291478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007867044,0.0001870181,0.007887557,0.00160787,0.0001657656,0.001093412,0.001990016,0.06340238,0.01232055,0.1662786,0.02047232,0.7238079],"study_design_scores_gemma":[0.00009775996,0.000323586,0.002665458,0.0006590775,0.0002562114,0.002468913,0.001001472,0.4847761,0.03431122,0.329377,0.1439044,0.0001587632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01885104,0.0008599989,0.9634348,0.0008591671,0.0001193264,0.0004519848,0.001324678,0.00671821,0.007380874],"genre_scores_gemma":[0.1423785,0.0005515816,0.8501611,0.0002662568,0.0001139802,0.0003395002,0.002220499,0.0007910056,0.003177745],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008089868,"threshold_uncertainty_score":0.02706331,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01949577009659499,"score_gpt":0.265419159993739,"score_spread":0.245923389897144,"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."}}