{"id":"W2024690956","doi":"10.14236/ewic/eva2014.13","title":"Transformation between Electronic Arts and Chronic Pain: Long-term Body Activity Data Visualisation and Pain Animation","year":2014,"lang":"en","type":"article","venue":"Electronic workshops in computing","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Animation; The arts; Visualization; Chronic pain; Digital art; Term (time); Computer science; Multimedia; Visual arts; Psychology; Art; Computer graphics (images); Artificial intelligence; Psychiatry","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00706561,0.0002823013,0.0003146018,0.0004142317,0.0003376529,0.0002582542,0.000672457,0.0002208267,0.00000356733],"category_scores_gemma":[0.0003206625,0.0003166788,0.00002449876,0.0007554978,0.0000918083,0.001890962,0.0003218275,0.001017259,0.000003456565],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007912906,"about_ca_system_score_gemma":0.0001570448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001585389,"about_ca_topic_score_gemma":0.0003102811,"domain_scores_codex":[0.9967499,0.0008348408,0.0004939117,0.0007929654,0.0002614266,0.0008670068],"domain_scores_gemma":[0.9979712,0.0009110585,0.0003317744,0.0006671781,0.00007593683,0.00004282749],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001339819,0.00004773477,0.009331109,0.00008394885,0.00003930296,0.000001113494,0.0006665144,0.0001198177,0.002408799,0.04902123,0.00003076145,0.9382363],"study_design_scores_gemma":[0.0006582589,0.0004892485,0.06400336,0.0001993027,0.00001430215,0.00002528556,0.00002423577,0.9263777,0.002264671,0.005199482,0.0003824114,0.0003617314],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.442023,0.000176052,0.5564342,0.0008420295,0.0000521437,0.0002590434,4.425233e-7,0.0001635393,0.00004953941],"genre_scores_gemma":[0.9983596,0.00005291771,0.00110117,0.0001394589,0.0002164366,0.00001284201,0.00008893688,0.00002111891,0.000007485347],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9378746,"threshold_uncertainty_score":0.9999285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691621146390797,"score_gpt":0.3110190878779616,"score_spread":0.2841028764140536,"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."}}