{"id":"W4411190886","doi":"10.30574/wjaets.2023.8.1.0065","title":"Data-driven storytelling: How to use data to tell compelling stories and drive business outcomes","year":2023,"lang":"en","type":"article","venue":"World Journal of Advanced Engineering Technology and Sciences","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Storytelling; Computer science; Data science; Business; Psychology; Narrative; Art; Literature","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":[0.02627667,0.001922506,0.0007434609,0.004195949,0.005353966,0.02184381,0.003801297,0.003902799,0.008325867],"category_scores_gemma":[0.06637588,0.000942364,0.001120553,0.002899156,0.0198102,0.03815182,0.01203048,0.004513781,0.003058945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003353367,"about_ca_system_score_gemma":0.004118943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00222328,"about_ca_topic_score_gemma":0.003366219,"domain_scores_codex":[0.9751941,0.02066205,0.0007377901,0.001317652,0.001629323,0.0004591221],"domain_scores_gemma":[0.9416573,0.04797069,0.002095944,0.004058248,0.002580233,0.001637627],"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":[0.0001747371,0.0001452404,0.003695187,0.002749883,0.0001260614,0.001142498,0.3546398,0.002451723,0.00461545,0.3638142,0.03888217,0.2275632],"study_design_scores_gemma":[0.00005446664,0.0001103655,0.0009840133,0.003089892,0.00007228048,0.001157701,0.1164141,0.004621424,0.003127476,0.3603541,0.5098237,0.0001905105],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.04505265,0.01308057,0.7091343,0.08760717,0.002042678,0.001761562,0.001273675,0.001852564,0.1381949],"genre_scores_gemma":[0.3931973,0.01075001,0.5697606,0.0057607,0.0005070117,0.001844179,0.001037926,0.0009759015,0.01616642],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02627667,"threshold_uncertainty_score":0.138966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1156498820478111,"score_gpt":0.3119670239943295,"score_spread":0.1963171419465184,"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."}}