{"id":"W2007342570","doi":"10.1177/1473871611425872","title":"Visualizing explicit and implicit relations of complex information spaces","year":2011,"lang":"en","type":"article","venue":"Information Visualization","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Theoretical computer science; Visualization; Information visualization; Focus (optics); Set (abstract data type); Spatial relation; Similarity (geometry); Spatialization; Graph; Data visualization; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002120794,0.00111504,0.000540086,0.004711383,0.000887487,0.005172182,0.0007371524,0.0009051171,0.005247832],"category_scores_gemma":[0.01181088,0.0005678196,0.0005184448,0.004091088,0.001192308,0.008951012,0.003998911,0.001632338,0.0004966356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005468652,"about_ca_system_score_gemma":0.0007853837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001215428,"about_ca_topic_score_gemma":0.001834317,"domain_scores_codex":[0.9987811,0.0005101892,0.00009018691,0.0001594681,0.0003866458,0.00007252757],"domain_scores_gemma":[0.9933001,0.004662047,0.0005671552,0.0006657916,0.0005952952,0.0002096866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005363258,0.0001756388,0.01090455,0.002629972,0.0002726026,0.001989658,0.02973821,0.04223825,0.04925521,0.4600075,0.01506591,0.3871861],"study_design_scores_gemma":[0.0001143362,0.0001489795,0.01123468,0.0007513209,0.0001960808,0.001750997,0.007795254,0.2333047,0.02262228,0.5893375,0.1324923,0.0002515443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09406934,0.002072185,0.8877238,0.00180465,0.0001842667,0.0001415151,0.0009625289,0.002538694,0.01050309],"genre_scores_gemma":[0.4108553,0.001768412,0.5829896,0.000181735,0.00009867269,0.0001978969,0.0008276012,0.000502271,0.002578575],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005247832,"threshold_uncertainty_score":0.01755577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04413230036329176,"score_gpt":0.3011315480190206,"score_spread":0.2569992476557289,"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."}}