{"id":"W1845475795","doi":"10.22230/src.2012v3n2a78","title":"Showcase Browsing with Texttiles 2.0 and BubbleLines","year":2012,"lang":"en","type":"article","venue":"Scholarly and Research Communication","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; World Wide Web; Visualization; Task (project management); Context (archaeology); Interface (matter); Annotation; Information retrieval; User interface; Application programming interface; Human–computer interaction; Multimedia; Data mining; Programming language; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002143444,0.001017785,0.0004743885,0.001868283,0.0007201281,0.002999789,0.001206346,0.001018075,0.02531938],"category_scores_gemma":[0.007883686,0.0004864091,0.0007387383,0.00182635,0.0008772685,0.005953552,0.003196431,0.0009866068,0.005756889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003066226,"about_ca_system_score_gemma":0.000433727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001989516,"about_ca_topic_score_gemma":0.00316645,"domain_scores_codex":[0.9992856,0.0002926829,0.00004477716,0.00009410831,0.0001996751,0.00008314491],"domain_scores_gemma":[0.9937935,0.004269925,0.0002397557,0.0007689146,0.0005454857,0.0003824163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.004179903,0.0005313851,0.01592084,0.003164623,0.0002612257,0.006333328,0.04438258,0.006068918,0.09465501,0.08480465,0.3260404,0.4136572],"study_design_scores_gemma":[0.0003266522,0.0006221696,0.01006284,0.0008754545,0.0001546891,0.003877704,0.00476138,0.04790405,0.04472423,0.04486757,0.8414906,0.000332598],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1277898,0.002074945,0.7166029,0.003815659,0.0006644316,0.0007003695,0.006739961,0.07983935,0.06177269],"genre_scores_gemma":[0.4236003,0.001518894,0.5204701,0.001647357,0.0004960819,0.000824325,0.00726555,0.01343373,0.03074365],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02531938,"threshold_uncertainty_score":0.08470172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.118825109590709,"score_gpt":0.4097332250948174,"score_spread":0.2909081155041084,"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."}}