{"id":"W3135829606","doi":"10.1145/3406522.3446037","title":"Visually Linked Keywords to Support Exploratory Browsing","year":2021,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exploratory search; Computer science; Digital library; Exploratory research; Task (project management); Workspace; Interface (matter); World Wide Web; Academic library; Human–computer interaction; Information retrieval; Baseline (sea); Multimedia; Artificial intelligence","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":[0.001917172,0.0007179918,0.0005651814,0.001778696,0.0003082643,0.001927948,0.001026122,0.0008104441,0.005630535],"category_scores_gemma":[0.01919976,0.0003213532,0.0003888732,0.001350549,0.000358391,0.003086729,0.002442059,0.0004451588,0.001660744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002806537,"about_ca_system_score_gemma":0.0006792733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005909903,"about_ca_topic_score_gemma":0.001177981,"domain_scores_codex":[0.9989968,0.0003847842,0.0001326769,0.0001532216,0.0002620994,0.00007040949],"domain_scores_gemma":[0.9804806,0.01474075,0.001144313,0.001866123,0.001120342,0.0006479711],"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":[0.004799993,0.001611091,0.01939426,0.004953934,0.0001572142,0.001550916,0.01405299,0.003647304,0.217651,0.006577379,0.01290379,0.7127002],"study_design_scores_gemma":[0.003264164,0.01160651,0.1686475,0.003473217,0.001617988,0.01165319,0.01465654,0.1442626,0.2588031,0.04436552,0.3360471,0.001602527],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.696811,0.002027346,0.2613969,0.00049715,0.0001216863,0.001130982,0.001788079,0.02269445,0.01353239],"genre_scores_gemma":[0.7306193,0.0005858444,0.2608657,0.0002123367,0.00007421027,0.0008065108,0.001087116,0.0007361455,0.005012859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005630535,"threshold_uncertainty_score":0.01883596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04591976410337585,"score_gpt":0.3128526941967098,"score_spread":0.266932930093334,"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."}}