{"id":"W2464003720","doi":"10.1111/cgf.12887","title":"Comparing Bar Chart Authoring with Microsoft Excel and Tangible Tiles","year":2016,"lang":"en","type":"article","venue":"Computer Graphics Forum","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Visualization; Computer science; Bar chart; Pipeline (software); Pie chart; Software; Human–computer interaction; Chart; Software visualization; Information visualization; Task (project management); Data science; Computer graphics (images); Software development; Data mining; Programming language; Component-based software 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":[0.0001709818,0.0001749725,0.0001962991,0.0001976094,0.0002126227,0.0003195978,0.0005970446,0.00004949862,0.000004735415],"category_scores_gemma":[0.000005386125,0.000118373,0.00004289905,0.0003616362,0.0001153791,0.0006327907,0.0005530424,0.00007794543,0.00002424707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001269782,"about_ca_system_score_gemma":0.00002768584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004997081,"about_ca_topic_score_gemma":0.00001360486,"domain_scores_codex":[0.9987676,0.00002755119,0.0001974131,0.0004322414,0.00020993,0.0003653184],"domain_scores_gemma":[0.9991415,0.00006317622,0.00008145106,0.0004742164,0.00008499114,0.0001547113],"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":[0.000005523186,0.00005937701,0.08796993,0.00003479247,0.00005138237,0.00001858383,0.0002450971,0.00001382472,0.0005152241,0.8890809,0.008080215,0.0139251],"study_design_scores_gemma":[0.002991642,0.0004996056,0.04038618,0.0008086363,0.00004217058,0.0001950883,0.00006180698,0.7806578,0.004050803,0.01523537,0.1536068,0.001464092],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01884892,0.00009528748,0.9787353,0.00158166,0.0002312897,0.00008187319,0.000005770614,0.0002244309,0.0001954291],"genre_scores_gemma":[0.9697294,0.000100679,0.02876203,0.001060151,0.00009568559,0.000004850403,0.000007715629,0.00002053724,0.0002189041],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9508805,"threshold_uncertainty_score":0.4827112,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023054215843797,"score_gpt":0.2500797004104408,"score_spread":0.2270254845666438,"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."}}