{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01363503,0.001091975,0.0009846531,0.001875551,0.01556573,0.03016646,0.001809139,0.007669902,0.02120301],"category_scores_gemma":[0.05703788,0.0008031333,0.0006889727,0.002217544,0.03392253,0.0685846,0.01170967,0.01429555,0.0091037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007244374,"about_ca_system_score_gemma":0.007658518,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00911548,"about_ca_topic_score_gemma":0.009482295,"domain_scores_codex":[0.9794282,0.01312384,0.0006139994,0.001642242,0.003066132,0.002125446],"domain_scores_gemma":[0.9698178,0.01344845,0.002794481,0.003403866,0.005626846,0.004908619],"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":[0.00009121955,0.00005188539,0.003073683,0.000271291,0.00003763506,0.0006575704,0.1695501,0.0002040496,0.0003423182,0.468489,0.2946993,0.06253198],"study_design_scores_gemma":[0.000009914203,0.00002994153,0.0004245717,0.000559474,0.00001542303,0.0003457753,0.08303413,0.0002443911,0.0003094563,0.1552352,0.7597227,0.00006899116],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.01824048,0.008984689,0.01698142,0.8138528,0.006432081,0.00006521789,0.0002999108,0.0006468855,0.1344964],"genre_scores_gemma":[0.7636681,0.01311892,0.01224058,0.1062453,0.003634651,0.0002651302,0.0005246781,0.001711312,0.09859139],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03016646,"threshold_uncertainty_score":0.07210976,"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."}}