{"id":"W2940471369","doi":"10.4230/dagrep.8.10.127","title":"Data Physicalization (Dagstuhl Seminar 18441)","year":2019,"lang":"en","type":"article","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Sports Science and Education","field":"Arts and Humanities","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bauhaus-Universität Weimar; Monash University; University of Lethbridge; Julius-Maximilians-Universität Würzburg; Microsoft Research; Carnegie Mellon University; University of Minnesota","keywords":"Environmental science; Computer science","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":[0.003650637,0.002000935,0.001025389,0.002223292,0.002125675,0.006604503,0.001610163,0.003744716,0.2043421],"category_scores_gemma":[0.004781821,0.0006974124,0.001401977,0.001473789,0.001605004,0.004575736,0.006283637,0.003665843,0.09847133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003385009,"about_ca_system_score_gemma":0.002103959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00177321,"about_ca_topic_score_gemma":0.002958802,"domain_scores_codex":[0.997529,0.0006155542,0.0001261545,0.0005185879,0.0007852265,0.0004255272],"domain_scores_gemma":[0.998889,0.0002452052,0.00004515533,0.0001447391,0.0002391155,0.0004368296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003389884,0.0001339658,0.0001337926,0.0003507513,0.00002334899,0.0002498323,0.0003886617,0.0006480761,0.002258905,0.05001867,0.8264354,0.1190196],"study_design_scores_gemma":[0.00004911723,0.00006784017,0.0005435201,0.0002443065,0.00001017788,0.0001425775,0.00008221056,0.0003790116,0.001200023,0.01595123,0.9813116,0.00001838828],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01659254,0.09971229,0.0481263,0.1017947,0.08477636,0.0007808913,0.01134922,0.005040958,0.6318267],"genre_scores_gemma":[0.06516029,0.01636774,0.01377837,0.005194655,0.01085989,0.0005555474,0.004436297,0.003030692,0.8806165],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2043421,"threshold_uncertainty_score":0.6835924,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05422155330270124,"score_gpt":0.2809444661312092,"score_spread":0.2267229128285079,"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."}}