{"id":"W2592594462","doi":"10.1145/3038462.3038469","title":"Active Learning with Visualization for Text Data","year":2017,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Active learning (machine learning); Visualization; Bottleneck; Learning analytics; Machine learning; Artificial intelligence; Semi-supervised learning; Visual analytics; Interface (matter); Interactive Learning; Interactive visualization; Data visualization; Annotation; Analytics; Data mining; Multimedia","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":[0.007166656,0.001880269,0.001044303,0.002058375,0.0007751051,0.004284982,0.00256566,0.002129841,0.009292644],"category_scores_gemma":[0.04292068,0.0007341177,0.001092043,0.001688447,0.001387811,0.006534979,0.003409309,0.003387429,0.002017743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008963224,"about_ca_system_score_gemma":0.0007339047,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001356326,"about_ca_topic_score_gemma":0.001388447,"domain_scores_codex":[0.994583,0.003603157,0.0002702205,0.000524768,0.0008925944,0.0001264139],"domain_scores_gemma":[0.9559458,0.0356375,0.001180564,0.004409433,0.002185761,0.0006409016],"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":[0.001393348,0.0007036434,0.002626275,0.001357095,0.0002142833,0.0004138613,0.002684719,0.256979,0.01866733,0.05200546,0.03563333,0.6273217],"study_design_scores_gemma":[0.0001313946,0.0001632843,0.0004935666,0.00009032788,0.00002037626,0.0001099053,0.0001715818,0.8866828,0.01633462,0.07921247,0.01653197,0.0000577234],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008005679,0.0004142854,0.9792024,0.0009249348,0.00009891615,0.0001337058,0.0004190261,0.009132189,0.001668745],"genre_scores_gemma":[0.2361114,0.0005646381,0.7572325,0.0003362075,0.0001514748,0.0009347692,0.001308427,0.001209085,0.002151533],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009292644,"threshold_uncertainty_score":0.03790134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04228460451045758,"score_gpt":0.3515716966424781,"score_spread":0.3092870921320205,"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."}}