{"id":"W2517601353","doi":"10.1109/icdec.2016.7563143","title":"BubbleNet: An innovative exploratory search and summarization interface with applicability in health social media","year":2016,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Alberta Innovates","keywords":"Automatic summarization; Computer science; Exploratory search; Information retrieval; Social media; World Wide Web; Interface (matter); Semantic search; Graph; Exploratory research; Search engine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001604947,0.0008967235,0.0005699674,0.002315203,0.0004553187,0.001579773,0.0008087985,0.0008734656,0.01244416],"category_scores_gemma":[0.006971546,0.0002774823,0.0003707068,0.001516494,0.0004136882,0.003201806,0.001482795,0.0004559659,0.002169178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003931968,"about_ca_system_score_gemma":0.0005358097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002968035,"about_ca_topic_score_gemma":0.004582659,"domain_scores_codex":[0.9993437,0.0003034231,0.00005373704,0.00007935143,0.0001860661,0.00003369127],"domain_scores_gemma":[0.9922826,0.006404189,0.0001975423,0.0003151621,0.0005906568,0.0002099244],"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":[0.004918393,0.0007801839,0.007868963,0.00534318,0.0002742322,0.001220031,0.01361904,0.00942119,0.09073599,0.01699502,0.109148,0.7396756],"study_design_scores_gemma":[0.001083235,0.003140324,0.01829209,0.0009047493,0.0005266411,0.002680102,0.007940714,0.3164714,0.1032144,0.02851124,0.5166689,0.0005662519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.168127,0.001955764,0.6764704,0.001522615,0.0003038578,0.001874678,0.01401906,0.1160028,0.0197239],"genre_scores_gemma":[0.293929,0.001003957,0.6725005,0.0006982259,0.0001529509,0.00145615,0.01494681,0.004271083,0.01104128],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01244416,"threshold_uncertainty_score":0.04162991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04351433390483602,"score_gpt":0.2998404350214005,"score_spread":0.2563261011165645,"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."}}