{"id":"W2413975857","doi":"10.2312/egs.20011033","title":"Artist Driven Expressive Graphics","year":2001,"lang":"en","type":"article","venue":"Eurographics","topic":"Human Motion and Animation","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"","keywords":"Computer science; Computer graphics (images); Graphics","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":[0.0008060372,0.0006815883,0.0003726041,0.0005588817,0.0006359972,0.002709353,0.001460923,0.00131973,0.02153333],"category_scores_gemma":[0.002235535,0.0004184926,0.0006379337,0.0004178275,0.001438983,0.002135568,0.00300752,0.001860389,0.003329663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005630058,"about_ca_system_score_gemma":0.0004803664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005256334,"about_ca_topic_score_gemma":0.0008997645,"domain_scores_codex":[0.9992408,0.0001723647,0.0000222786,0.00009315625,0.0004117244,0.00005975188],"domain_scores_gemma":[0.9994005,0.0002038018,0.00002832398,0.0002160169,0.00008775888,0.00006351133],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001214752,0.00006309312,0.0002996166,0.0002338507,0.00003171953,0.0001933533,0.0007305016,0.04615004,0.04694798,0.7893167,0.01322041,0.1026913],"study_design_scores_gemma":[0.0001100312,0.0001043906,0.0004063145,0.00007365795,0.00002482922,0.0004667422,0.0002132569,0.2937867,0.01778297,0.4484798,0.2384857,0.00006558526],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01570802,0.0007967674,0.8536346,0.0009882676,0.0003892767,0.0001219883,0.0002088089,0.002606085,0.1255463],"genre_scores_gemma":[0.4870046,0.001502546,0.3912153,0.0007508406,0.0002394054,0.0002737693,0.0005726635,0.001513379,0.1169276],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02153333,"threshold_uncertainty_score":0.07203621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01372111629696293,"score_gpt":0.21358313664641,"score_spread":0.1998620203494471,"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."}}