{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003405424,0.0001511613,0.0001788552,0.0005903617,0.0001789802,0.0002846132,0.0003235966,0.0000895655,0.000100606],"category_scores_gemma":[0.0001577761,0.0001544213,0.0000393531,0.0009120148,0.00004526586,0.01239432,0.0001716601,0.00005609264,0.000115958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003301374,"about_ca_system_score_gemma":0.0000551964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007239508,"about_ca_topic_score_gemma":0.000003825821,"domain_scores_codex":[0.9984674,0.00005516123,0.0008320421,0.0001146767,0.0003562675,0.00017449],"domain_scores_gemma":[0.9984578,0.00004062138,0.0006290756,0.0003154726,0.0004654391,0.00009158953],"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":[0.0000057372,0.00003111922,0.002478992,0.00006349466,0.00001521095,8.37742e-8,0.01178983,0.00008244495,0.0001237038,0.9760857,0.00138458,0.00793909],"study_design_scores_gemma":[0.001177428,0.0002165534,0.04244919,0.00009371318,0.00003800194,0.00001959251,0.002834447,0.8820027,0.004213385,0.00621639,0.0601662,0.000572407],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.007164504,0.00001036795,0.9802826,0.00007662649,0.0001028742,0.0002348825,0.00002684817,0.0002165091,0.0118848],"genre_scores_gemma":[0.9825572,0.00005520244,0.01590084,0.0008242342,0.00001541806,0.00001533808,0.0005896564,0.000007195398,0.00003493761],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9753927,"threshold_uncertainty_score":0.8985583,"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."}}