{"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":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003128252,0.00005666853,0.00006450858,0.0001446799,0.000608346,0.00133519,0.0004922763,0.00003910502,0.000003915328],"category_scores_gemma":[0.0004398847,0.00004261534,0.000005797529,0.0004396577,0.0001810019,0.004156594,0.0006546498,0.0003196151,0.000009807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001240633,"about_ca_system_score_gemma":0.00003585479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008889529,"about_ca_topic_score_gemma":0.00006468921,"domain_scores_codex":[0.9987376,0.0004899423,0.0001005834,0.0001316809,0.0003283627,0.000211838],"domain_scores_gemma":[0.9984906,0.0002671595,0.00003044652,0.0006486229,0.0004142437,0.000148877],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004762955,0.0004188938,0.2450929,0.0001021208,0.00005256183,0.000003312921,0.007181353,0.000006146343,0.002096071,0.5268677,0.004987907,0.2131434],"study_design_scores_gemma":[0.002228152,0.0005196327,0.6903543,0.0006096861,0.00003022867,0.0002044281,0.003852946,0.09297235,0.003541763,0.01460376,0.1900972,0.0009856191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7556506,0.02640324,0.1964231,0.01519211,0.00009440338,0.0006056226,0.00002160195,0.000244717,0.005364521],"genre_scores_gemma":[0.9814242,0.00166745,0.01649721,0.0001361897,0.00002205451,0.000005178956,0.00002199319,0.000004862252,0.0002208826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.512264,"threshold_uncertainty_score":0.9997015,"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."}}