{"id":"W2982111346","doi":"10.14236/ewic/eva2018.0","title":"Electronic Visualisation and the Arts (EVA 2018) - Index","year":2018,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Human Motion and Animation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Index (typography); Computer science; The arts; Computer graphics (images); Data visualization; Visual arts; Art; Artificial intelligence; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001705383,0.001507151,0.001327928,0.00699998,0.001900529,0.01888481,0.001456709,0.002204007,0.5237276],"category_scores_gemma":[0.008112153,0.0005811997,0.0008846312,0.007895326,0.0009005599,0.009296631,0.006188246,0.002785054,0.3301973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002917751,"about_ca_system_score_gemma":0.001785985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00280717,"about_ca_topic_score_gemma":0.003698169,"domain_scores_codex":[0.9975879,0.0003590362,0.0001610319,0.0003005624,0.001331005,0.0002604586],"domain_scores_gemma":[0.9950123,0.0009911732,0.0002519469,0.0006937807,0.001924326,0.001126419],"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":[0.0000249605,0.00001813755,0.00009487488,0.0003837711,0.000005637592,0.00003859737,0.00006896761,0.00005742539,0.0002840434,0.003348513,0.9493961,0.04627897],"study_design_scores_gemma":[0.000003294378,0.000007624129,0.0002858828,0.0002181662,0.000002498644,0.00007431018,0.00006126958,0.00003951117,0.00009001965,0.001111079,0.9980989,0.000007427542],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001265762,0.03344779,0.004668007,0.008652392,0.04552739,0.0004055544,0.01856825,0.006102162,0.8813627],"genre_scores_gemma":[0.009323381,0.02391611,0.00375513,0.002623612,0.01306244,0.0004814324,0.02500181,0.006729648,0.9151065],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4762724,"threshold_uncertainty_score":0.6793448,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00810028090203742,"score_gpt":0.2439166010517261,"score_spread":0.2358163201496886,"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."}}