{"id":"W4205405110","doi":"10.17760/d20335152","title":"In pennies we trust : but should we?","year":2019,"lang":"en","type":"dissertation","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Storytelling; Viewpoints; Value (mathematics); Public relations; Law and economics; Political science; Computer science; Sociology; Narrative; Art","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001088033,0.0001763501,0.0002300033,0.0002882376,0.00003068549,0.0002562891,0.0009278738,0.0001717355,0.0004288973],"category_scores_gemma":[0.00002682162,0.0001549353,0.00006026728,0.0003944089,0.000008088781,0.00051606,0.00008275898,0.0001724314,0.0007497197],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000282486,"about_ca_system_score_gemma":0.000139573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000842996,"about_ca_topic_score_gemma":0.0004216879,"domain_scores_codex":[0.998861,0.00002626921,0.0002722455,0.0003716248,0.0002995121,0.0001693743],"domain_scores_gemma":[0.9992557,0.00003443191,0.0001058322,0.0004925692,0.00006457123,0.00004693067],"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":[0.00001057143,0.0001687447,0.000461723,0.0004516475,0.00003483419,0.00002964545,0.003537294,0.0000599406,0.0001870803,0.8583901,0.1200641,0.01660435],"study_design_scores_gemma":[0.001122994,0.0001363087,0.002123303,0.0006725154,0.00004363137,0.000007821714,0.007829685,0.3593743,0.004131394,0.01077297,0.6119928,0.001792339],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00905092,0.002558071,0.2799138,0.01584503,0.01239511,0.001363848,0.0001293643,0.0009925037,0.6777514],"genre_scores_gemma":[0.03030441,0.001328883,0.00348088,0.001532674,0.00010116,0.00001226139,0.0009780646,0.00003274174,0.962229],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8476171,"threshold_uncertainty_score":0.9636381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04437619453025062,"score_gpt":0.3453347746102116,"score_spread":0.300958580079961,"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."}}