{"id":"W2792276653","doi":"10.1145/3172944.3173009","title":"User-adaptive Support for Processing Magazine Style Narrative Visualizations","year":2018,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Narrative; Set (abstract data type); Style (visual arts); Human–computer interaction; Perception; Process (computing); Exploratory research; Visualization; Multimedia; World Wide Web; Psychology; Artificial intelligence; Linguistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001670179,0.0001083737,0.000115338,0.000102716,0.00031435,0.0002638452,0.0004359352,0.00003633416,0.0002410186],"category_scores_gemma":[0.00006957905,0.00009382905,0.00003515462,0.0005914153,0.00008397404,0.000910483,0.0001312804,0.00002926511,0.0001555954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002282525,"about_ca_system_score_gemma":0.0001561282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002407108,"about_ca_topic_score_gemma":0.00003527871,"domain_scores_codex":[0.9990768,0.00002321754,0.0002094034,0.0003086443,0.0001737446,0.0002081206],"domain_scores_gemma":[0.9989509,0.00003178067,0.00009280397,0.0002537227,0.0005861358,0.000084643],"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":[0.00000890363,0.0001675961,0.0001157338,0.00001874867,0.00002362396,0.000001330688,0.006730741,0.00001638402,0.0003767266,0.8653989,0.1184942,0.008647128],"study_design_scores_gemma":[0.0004450149,0.0004404599,0.0001398205,0.00001686498,0.00001087961,0.000004262766,0.0008398325,0.8033725,0.002955151,0.002125039,0.1894057,0.0002445215],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001064083,0.000004209582,0.9859269,0.0004359182,0.0001179319,0.0001900991,0.00001612463,0.0002085031,0.01299385],"genre_scores_gemma":[0.5079579,0.000006106068,0.4194324,0.004937477,0.0003914105,0.00005807503,0.0001926678,0.00003608821,0.06698792],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8632739,"threshold_uncertainty_score":0.3826238,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03765238327560105,"score_gpt":0.3518083679255882,"score_spread":0.3141559846499872,"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."}}