{"id":"W4287685446","doi":"10.48550/arxiv.2008.11310","title":"Why Shouldn't All Charts Be Scatter Plots? Beyond Precision-Driven\\n Visualizations","year":2020,"lang":"","type":"preprint","venue":"arXiv (Cornell University)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Scatter plot; Visualization; Computer science; Plot (graphics); Variable (mathematics); Chart; Argument (complex analysis); Information visualization; Visual analytics; Pie chart; Formative assessment; Perception; Data visualization; Artificial intelligence; Mathematics; Statistics; Psychology; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02740219,0.001417852,0.00147715,0.005210388,0.002506993,0.01751722,0.002929626,0.002747524,0.009818747],"category_scores_gemma":[0.1845412,0.000890312,0.0007854223,0.007819447,0.009279054,0.02229037,0.003484889,0.005310507,0.003858791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002151954,"about_ca_system_score_gemma":0.003411951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005741494,"about_ca_topic_score_gemma":0.004333351,"domain_scores_codex":[0.9779029,0.01220305,0.001173582,0.001905326,0.00636203,0.0004530487],"domain_scores_gemma":[0.8745356,0.07415724,0.007430606,0.01666632,0.02504565,0.002164561],"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":[0.0002277118,0.00008630537,0.005808565,0.001627168,0.0001483061,0.0001834804,0.01132215,0.005424476,0.002422291,0.587828,0.1270874,0.2578341],"study_design_scores_gemma":[0.00008442274,0.00009013309,0.003627443,0.001129664,0.00005808602,0.0002320252,0.004321406,0.0113964,0.00394707,0.7608225,0.2141182,0.0001726488],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02736744,0.01156323,0.8326194,0.06857138,0.005539719,0.0003156759,0.002908535,0.0171089,0.03400576],"genre_scores_gemma":[0.3859752,0.009342956,0.5753546,0.006636762,0.002562905,0.0007820878,0.001914136,0.006428136,0.01100318],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02740219,"threshold_uncertainty_score":0.1449184,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1501327335408825,"score_gpt":0.2611062139277379,"score_spread":0.1109734803868554,"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."}}