{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007259269,0.0002569151,0.0001331301,0.0007038886,0.000452577,0.003187428,0.0003959344,0.000629343,0.01116823],"category_scores_gemma":[0.003747526,0.0001427418,0.0003041499,0.0005706618,0.001322217,0.001632898,0.002650203,0.0006940534,0.0006882954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002965618,"about_ca_system_score_gemma":0.0002572538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004588412,"about_ca_topic_score_gemma":0.0007681056,"domain_scores_codex":[0.9995785,0.0002306716,0.00002179162,0.00003733506,0.00009335826,0.00003833378],"domain_scores_gemma":[0.9985948,0.001016424,0.0000816027,0.0001500387,0.00008030877,0.00007682719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00176153,0.0009901372,0.02096424,0.001597311,0.0001291653,0.002354011,0.06596568,0.006496731,0.05183094,0.07431711,0.02281093,0.7507822],"study_design_scores_gemma":[0.0005817937,0.00266784,0.1543867,0.003795997,0.0003547328,0.009527497,0.07608034,0.04637206,0.05590248,0.133785,0.5160391,0.0005066115],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6214986,0.007562933,0.197025,0.01307904,0.001837321,0.0003185001,0.001018505,0.001854847,0.1558053],"genre_scores_gemma":[0.9495706,0.001912861,0.02931645,0.0007435164,0.0002210792,0.0001637931,0.0002476447,0.0001738557,0.01765021],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01116823,"threshold_uncertainty_score":0.0373615,"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."}}