{"id":"W182015347","doi":"","title":"Dynamic research profile visualisation using cluster transition","year":2010,"lang":"en","type":"article","venue":"Research at the University of Copenhagen (University of Copenhagen)","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Economic and Social Research Council; National Natural Science Foundation of China; Genome Canada; National Research University Higher School of Economics; Russian Foundation for Basic Research; Stem Cell Network; National Science Foundation","keywords":"Cluster (spacecraft); Visualization; Computer science; Computer graphics (images); Data mining; Operating system","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.001259564,0.0004351174,0.0004683531,0.006083251,0.0009902257,0.003765967,0.0005833713,0.0006482271,0.01152142],"category_scores_gemma":[0.007374484,0.0003845281,0.0006101264,0.006586529,0.0003169704,0.001918412,0.002188862,0.001209744,0.00168705],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007396547,"about_ca_system_score_gemma":0.001834734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004726967,"about_ca_topic_score_gemma":0.005677976,"domain_scores_codex":[0.9994461,0.0001187114,0.00006202458,0.0001030544,0.0001739282,0.00009604962],"domain_scores_gemma":[0.9963599,0.00173165,0.0002683176,0.000605105,0.0006963919,0.0003386436],"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":[0.001962305,0.0002617706,0.02326175,0.001126683,0.0002032184,0.0006735965,0.0072516,0.04107165,0.03289603,0.06939377,0.0671976,0.7547001],"study_design_scores_gemma":[0.0002314616,0.0001656154,0.01815009,0.0003648033,0.0001990468,0.0006693482,0.00297142,0.6705843,0.05854077,0.07910551,0.1687717,0.0002459299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1560182,0.0005826274,0.7351734,0.001728877,0.0005583639,0.0004794508,0.01040924,0.07041832,0.0246315],"genre_scores_gemma":[0.559867,0.0004245246,0.4242133,0.0001147252,0.00009112644,0.0005193825,0.005080458,0.003585411,0.00610404],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9939167,"threshold_uncertainty_score":0.03854305,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2537685849673143,"score_gpt":0.4469311518657585,"score_spread":0.1931625668984442,"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."}}