{"id":"W4282969634","doi":"10.21606/drs.2022.257","title":"Data-painting: Expressive free-form visualisation","year":2022,"lang":"en","type":"article","venue":"Proceedings of DRS","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; European Commission; Alberta Innovates - Technology Futures","keywords":"Visualization; Computer science; Representation (politics); Data visualization; Expressive power; Human–computer interaction; Expressivity; Information visualization; Painting; External Data Representation; Data science; Artificial intelligence; Theoretical computer science; Visual arts","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003712098,0.001182277,0.000743071,0.001624409,0.001112102,0.006413367,0.002217513,0.001728369,0.02844548],"category_scores_gemma":[0.01534956,0.0007505596,0.001596231,0.001448942,0.002239892,0.006827896,0.008830186,0.002328535,0.00365747],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005582668,"about_ca_system_score_gemma":0.0006815052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007762586,"about_ca_topic_score_gemma":0.001206172,"domain_scores_codex":[0.9979419,0.0008897807,0.0001158683,0.0002316565,0.0006636117,0.0001571971],"domain_scores_gemma":[0.992694,0.004546297,0.000197107,0.00172137,0.0004920519,0.0003490703],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001284853,0.0002969526,0.002973579,0.003085949,0.0002007346,0.002004772,0.02912642,0.02124957,0.06211451,0.350184,0.09720695,0.4302718],"study_design_scores_gemma":[0.0003185854,0.0002478431,0.002076634,0.0008531225,0.00007392679,0.001945741,0.003342442,0.0864892,0.03508932,0.3282193,0.5410385,0.000305394],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01540112,0.0007578818,0.9407024,0.001497949,0.0003504846,0.0003246548,0.001686724,0.01371351,0.02556529],"genre_scores_gemma":[0.2777877,0.001593598,0.6905659,0.0007626049,0.000223083,0.0009572494,0.002936564,0.005094653,0.02007861],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02844548,"threshold_uncertainty_score":0.09515959,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04447041341731357,"score_gpt":0.3051562584466951,"score_spread":0.2606858450293816,"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."}}