{"id":"W1648195614","doi":"10.1007/978-3-642-14600-8_46","title":"An Examination of Cleveland and McGill’s Hierarchy of Graphical Elements","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick; Queen's University","funders":"","keywords":"Perception; Hierarchy; Computer science; Graph; Reading (process); Affect (linguistics); Graph theory; Information retrieval; Artificial intelligence; Theoretical computer science; Psychology; Mathematics; Communication; Linguistics; Combinatorics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002116884,0.0004939201,0.0003787236,0.006830176,0.004055517,0.004998707,0.00133374,0.001053917,0.0148509],"category_scores_gemma":[0.01370512,0.0006329534,0.0007668878,0.006164862,0.005898778,0.009847623,0.001717771,0.002792874,0.001762697],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003583776,"about_ca_system_score_gemma":0.00363664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04555377,"about_ca_topic_score_gemma":0.08640832,"domain_scores_codex":[0.9981269,0.0006419202,0.0001572255,0.0002636302,0.0006785339,0.0001318085],"domain_scores_gemma":[0.9926112,0.004082687,0.0002574195,0.0006345931,0.002103153,0.0003110039],"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":[0.0000157722,0.00002469344,0.0009067021,0.0001271186,0.000007256246,0.0001041668,0.006415176,0.0002991854,0.000473896,0.9061538,0.02079771,0.06467457],"study_design_scores_gemma":[0.00001225937,0.00002628572,0.003368673,0.000321983,0.0000243201,0.0003532591,0.00445999,0.003179653,0.0004946529,0.522438,0.4652788,0.00004215928],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.03216425,0.01017632,0.3186931,0.01896076,0.0007109271,0.0003216325,0.0006948646,0.0009230814,0.6173551],"genre_scores_gemma":[0.4593386,0.008835036,0.4491951,0.00258871,0.0003887645,0.0002693822,0.0008873213,0.0007142345,0.07778277],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04555377,"threshold_uncertainty_score":0.09057724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01934599227403942,"score_gpt":0.2844493608589191,"score_spread":0.2651033685848797,"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."}}