{"id":"W2092929535","doi":"10.1007/s00180-011-0228-6","title":"Graphs as navigational infrastructure for high dimensional data spaces","year":2011,"lang":"en","type":"article","venue":"Computational Statistics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Morphing; Graph; Computer science; Graph theory; Theoretical computer science; Line graph; Discrete mathematics; Mathematics; Combinatorics; Artificial intelligence","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":[0.0001823679,0.0001522994,0.0001444718,0.00009718636,0.0002263253,0.0001679007,0.001086358,0.00005040172,0.0001898964],"category_scores_gemma":[0.000217422,0.0001491943,0.00002388663,0.0002797907,0.0001008117,0.0005213434,0.0004250253,0.00008287293,0.00006559856],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002246922,"about_ca_system_score_gemma":0.0002693111,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002539755,"about_ca_topic_score_gemma":0.000004619015,"domain_scores_codex":[0.9985265,0.00003636715,0.0003096431,0.0004500439,0.0004842906,0.0001931136],"domain_scores_gemma":[0.9984571,0.0003539141,0.0001692592,0.0004444567,0.0004536118,0.0001216631],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000007326056,0.00005421371,0.0003182386,0.00001288497,0.00003383384,0.000005631079,0.0001227966,0.004315177,0.000002555593,0.9361157,0.05364984,0.005361745],"study_design_scores_gemma":[0.000254774,0.00004419234,0.006829529,0.000006924251,0.00001097757,0.00001097529,0.000006978285,0.4500637,0.0000103425,0.5399956,0.002639071,0.0001269689],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007563058,0.00002294137,0.9943289,0.0002253461,0.0004109628,0.0001490372,0.003841088,0.00008303831,0.0001823649],"genre_scores_gemma":[0.1222253,0.000003589658,0.866163,0.0009954273,0.00006452663,0.000007019554,0.01040374,0.00001273032,0.0001247668],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4457485,"threshold_uncertainty_score":0.6083966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04759561105344597,"score_gpt":0.3205108999731773,"score_spread":0.2729152889197313,"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."}}