{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01162836,0.001505825,0.0005726612,0.003113818,0.004969693,0.01329232,0.002518675,0.00257842,0.01792763],"category_scores_gemma":[0.0304691,0.0005576818,0.001025098,0.002639388,0.01661107,0.0102388,0.01048291,0.004374347,0.004170167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002251532,"about_ca_system_score_gemma":0.001468679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001158902,"about_ca_topic_score_gemma":0.001526167,"domain_scores_codex":[0.986406,0.009149193,0.0004480009,0.001151767,0.002443494,0.0004015244],"domain_scores_gemma":[0.9706793,0.02146628,0.001213759,0.004475827,0.001270403,0.0008944226],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002560494,0.0001019937,0.001970303,0.001825692,0.00007832297,0.0009386748,0.3589357,0.001840469,0.006139433,0.3489098,0.08536748,0.1936361],"study_design_scores_gemma":[0.00002552928,0.0000492424,0.0008461283,0.0007608864,0.00002349917,0.0009125866,0.02595525,0.001043603,0.001624617,0.07263032,0.8960712,0.00005721602],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06923911,0.00926385,0.3406833,0.0373845,0.004308484,0.001068789,0.002754652,0.003811869,0.5314856],"genre_scores_gemma":[0.6195476,0.008385576,0.2512011,0.006852957,0.002444995,0.002054083,0.002008108,0.002839813,0.1046657],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01792763,"threshold_uncertainty_score":0.06149739,"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."}}