{"id":"W4391646685","doi":"10.3390/app14041387","title":"A Design Language for Prototyping and Storyboarding Data-Driven Stories","year":2024,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Polytechnique Montréal","keywords":"Computer science; Persona; Storytelling; Human–computer interaction; Narrative; Pluralistic walkthrough; Design language; Visual language; Process (computing); Set (abstract data type); Software engineering; Engineering drawing; Usability; Programming language; Linguistics; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008038367,0.00006523164,0.00007408095,0.00008989001,0.0002539665,0.0008001286,0.0008111042,0.00001695071,0.000002806293],"category_scores_gemma":[0.00003481361,0.00005162798,0.000008782111,0.0004113146,0.0001245626,0.0006719735,0.0002811933,0.00003447543,0.000009161791],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009819957,"about_ca_system_score_gemma":0.0001030811,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003206431,"about_ca_topic_score_gemma":0.000002621363,"domain_scores_codex":[0.9991599,0.00001504651,0.00009029543,0.0004185299,0.000166582,0.0001496628],"domain_scores_gemma":[0.9995117,0.0001663905,0.00002273057,0.0002478057,0.0000128263,0.00003854109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000275113,0.00001264167,0.00001852056,0.0001057472,0.00001775409,0.000003943336,0.006520816,0.0004157514,0.003850781,0.9032334,0.008271596,0.07754626],"study_design_scores_gemma":[0.00006849089,0.00003466152,0.000004911913,0.00002654683,0.000006995469,0.000002829949,0.0006965882,0.9639421,0.001073966,0.001974195,0.03204603,0.0001226483],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0004097507,0.000398313,0.9976356,0.0002815364,0.0001462322,0.0003364486,0.00001463718,0.0001774339,0.0006000367],"genre_scores_gemma":[0.5743737,0.00003579807,0.424684,0.0004176873,0.0001373363,0.0001171935,0.00002959565,0.000008492357,0.0001961842],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9635264,"threshold_uncertainty_score":0.7715659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1055296468185108,"score_gpt":0.3682272421405792,"score_spread":0.2626975953220684,"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."}}