{"id":"W2985091509","doi":"10.1109/mlui52769.2019.10075563","title":"Shall we play? – Extending the Visual Analytics Design Space through Gameful Design Concepts","year":2019,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Visual analytics; Workflow; Analytics; Human–computer interaction; Context (archaeology); Data science; Point (geometry); Visualization; Artificial intelligence","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007815418,0.0002338664,0.0002453288,0.00008388608,0.0001771594,0.0005865343,0.001442086,0.00008171837,0.0004497632],"category_scores_gemma":[0.00008804284,0.0001575252,0.00008932065,0.0008089389,0.00008683257,0.0009599209,0.0003771649,0.0001628365,0.001087074],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005321604,"about_ca_system_score_gemma":0.0001425736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001559419,"about_ca_topic_score_gemma":0.000002924681,"domain_scores_codex":[0.9979215,0.0002937418,0.000319443,0.0005163768,0.0005153309,0.000433622],"domain_scores_gemma":[0.9982071,0.000613379,0.0001561973,0.0008036277,0.0001148216,0.000104897],"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":[0.00001483995,0.0001582122,0.0004765248,0.00002182948,0.000102618,0.00002435293,0.002505971,0.02668297,0.0008439267,0.9079771,0.05639074,0.004800916],"study_design_scores_gemma":[0.0003731961,0.0001581517,0.00008557055,0.00003378052,0.00002040486,0.0000141714,0.0004045118,0.9599245,0.003531328,0.003697647,0.03145091,0.0003058257],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0001709613,0.0001581261,0.9921514,0.001945962,0.0003321003,0.0003425732,0.000002365229,0.0002199483,0.004676546],"genre_scores_gemma":[0.6260986,0.0006559683,0.3423904,0.006181748,0.000207837,0.00001431643,0.00001680651,0.00005469811,0.02437965],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9332415,"threshold_uncertainty_score":0.9996907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06991903238041558,"score_gpt":0.3516262037949849,"score_spread":0.2817071714145693,"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."}}