{"id":"W4296954347","doi":"10.31219/osf.io/kdws9","title":"Embracing Disciplinary Diversity in Visualization","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Discipline; Visualization; Diversity (politics); Storytelling; Data science; Data visualization; Computer science; Citizen journalism; Engineering ethics; Sociology; World Wide Web; Narrative; Engineering; Social science; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1100217,0.001233685,0.002153325,0.007154323,0.01002873,0.03252634,0.003914444,0.005969152,0.003645616],"category_scores_gemma":[0.1515119,0.001550676,0.00178676,0.005581537,0.03822885,0.03671322,0.04339826,0.01047189,0.0009147135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003919486,"about_ca_system_score_gemma":0.00654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165568,"about_ca_topic_score_gemma":0.001526022,"domain_scores_codex":[0.8388073,0.1280455,0.005675261,0.009117452,0.01612605,0.002228493],"domain_scores_gemma":[0.7375318,0.1731355,0.006781973,0.05857582,0.01689662,0.00707838],"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":[0.0001044563,0.0001448904,0.006508935,0.00123688,0.0002196332,0.0004609268,0.091982,0.003952048,0.003618535,0.7345498,0.00582976,0.1513922],"study_design_scores_gemma":[0.00003735559,0.00006894303,0.001081596,0.001207585,0.00004252579,0.0005121327,0.01358657,0.003100897,0.001104673,0.8828071,0.096338,0.0001127108],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05295909,0.02166353,0.8018076,0.06833623,0.001350171,0.000335952,0.0001709164,0.001033745,0.05234282],"genre_scores_gemma":[0.5872044,0.008763824,0.3886277,0.006828952,0.001325411,0.0009822297,0.0001937167,0.0009706295,0.005103084],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1100217,"threshold_uncertainty_score":0.5818576,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06401566936500698,"score_gpt":0.3553119927189523,"score_spread":0.2912963233539453,"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."}}