{"id":"W4414606209","doi":"10.33767/osf.io/c6gfe_v1","title":"Input Data Comics: Exploring a Narrative Approach to Input Visualization","year":2025,"lang":"en","type":"article","venue":"","topic":"Artificial Intelligence in Games","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Comics; Narrative; Storytelling; Visualization; Citizen journalism; Data visualization; Data collection; Space (punctuation)","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":[0.007495288,0.001283171,0.0004485994,0.002328928,0.003311922,0.01291024,0.002070392,0.001705927,0.01058711],"category_scores_gemma":[0.01893299,0.0006105126,0.0007667026,0.002387343,0.007801156,0.009342381,0.008681077,0.002172211,0.001135455],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002042342,"about_ca_system_score_gemma":0.001836936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595679,"about_ca_topic_score_gemma":0.002583637,"domain_scores_codex":[0.9909415,0.007393976,0.0002235852,0.0004904409,0.0005909599,0.000359429],"domain_scores_gemma":[0.9824597,0.01374153,0.0007235319,0.001544004,0.0008694174,0.0006619315],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000344304,0.0001190611,0.004339487,0.001274131,0.00006766615,0.002203841,0.4706781,0.004875256,0.006274818,0.4162216,0.01138423,0.08221752],"study_design_scores_gemma":[0.0001173765,0.0003022602,0.002022833,0.002168721,0.00008514992,0.001901234,0.1992099,0.0213603,0.009779861,0.2065112,0.5564244,0.0001167601],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1103345,0.002173536,0.7208894,0.01081905,0.000582108,0.0007024818,0.001153221,0.001721584,0.1516242],"genre_scores_gemma":[0.7554234,0.001396521,0.2223138,0.0008773871,0.0001420564,0.0009703944,0.0006843163,0.0007506443,0.0174415],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01291024,"threshold_uncertainty_score":0.03963935,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1766428522912882,"score_gpt":0.366032309072401,"score_spread":0.1893894567811128,"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."}}