{"id":"W346574303","doi":"10.3102/10769986030004353","title":"No Humble Pie: The Origins and Usage of a Statistical Chart","year":2005,"lang":"en","type":"article","venue":"Journal of Educational and Behavioral Statistics","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Chart; Pie chart; Appeal; Brother; Plot (graphics); History; Mathematics; Law; Statistics; Political science","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":[0.0002124589,0.00006773652,0.0001248794,0.00005284706,0.00008584269,0.00009665866,0.0001992416,0.00001971048,0.0001688413],"category_scores_gemma":[0.0000923306,0.00004545771,0.00001560217,0.00009847408,0.0001183355,0.0002447669,0.00005299633,0.00009534305,0.000006868682],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000232624,"about_ca_system_score_gemma":0.0001970305,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002224932,"about_ca_topic_score_gemma":0.00001231396,"domain_scores_codex":[0.9992064,0.00003201464,0.0003304651,0.00008136932,0.0002594373,0.00009036337],"domain_scores_gemma":[0.9990416,0.0002258981,0.0002237011,0.00008927791,0.0003179106,0.0001016071],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000898395,0.0004928145,0.01162444,0.00002136917,0.00001598067,0.000003734779,0.000438415,0.000009272621,0.0002240103,0.9259768,0.03355467,0.02762958],"study_design_scores_gemma":[0.002174054,0.001828487,0.398238,0.0001721536,0.0004148942,0.0008141297,0.000451645,0.04315269,0.000418746,0.05154087,0.5000622,0.0007320956],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1384301,0.000504657,0.8519927,0.007001874,0.000709263,0.0001411426,0.0008370791,0.000007090242,0.0003760933],"genre_scores_gemma":[0.6892441,0.0003219557,0.3081972,0.0004770753,0.0003750171,0.000001649226,0.00003802744,0.000007319032,0.00133773],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8744358,"threshold_uncertainty_score":0.1853712,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04239665616900781,"score_gpt":0.3786457753845167,"score_spread":0.3362491192155089,"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."}}