{"id":"W4229068469","doi":"10.33137/ijidi.v6i1.37027","title":"Art of (Data) Storytelling","year":2022,"lang":"en","type":"article","venue":"The International Journal of Information Diversity & Inclusion (IJIDI)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Storytelling; Interactivity; Narrative; Computer science; Multimedia; Psychology; Art","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["open_science"],"consensus_categories":["open_science"],"category_scores_codex":[0.001771457,0.00006383008,0.0001070683,0.0003291635,0.0007728193,0.00009406572,0.005548835,0.00001635045,0.0002833973],"category_scores_gemma":[0.0001151052,0.00005133514,0.00007897175,0.0002715571,0.00003781903,0.003424327,0.02119209,0.0001917798,0.00002971521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001547555,"about_ca_system_score_gemma":0.0001460935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001758673,"about_ca_topic_score_gemma":0.000002108558,"domain_scores_codex":[0.9975259,0.00007827428,0.0005044122,0.00006182212,0.001753982,0.00007564315],"domain_scores_gemma":[0.9979063,0.000100959,0.0009533609,0.000313959,0.0006806809,0.00004475835],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004799287,0.0007044759,0.004580738,0.00004010598,0.0007871899,0.00006925777,0.05833014,0.1001221,0.0006230309,0.2406762,0.4738445,0.1197423],"study_design_scores_gemma":[0.001121018,0.0001410234,0.0005982575,0.00003714033,0.00003445698,0.000174968,0.002164788,0.2691538,0.0006262462,0.003263261,0.7225221,0.0001629125],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02141338,0.00007101602,0.9639859,0.009269577,0.002072475,0.00009818309,0.0001485799,0.0000309821,0.002909923],"genre_scores_gemma":[0.9892333,0.0001475727,0.006294686,0.0037997,0.0001092887,3.343494e-7,0.0001430488,0.000002991404,0.0002690439],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9678199,"threshold_uncertainty_score":0.9998316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03255696766569053,"score_gpt":0.2825502240707627,"score_spread":0.2499932564050722,"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."}}