{"id":"W2770517862","doi":"10.1145/3130800.3130897","title":"Seamless","year":2017,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Rendering (computer graphics); Skinning; Polygon mesh; Computer graphics (images); Parameterized complexity; Computer vision; Algorithm; Artificial intelligence","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":[0.0006260891,0.001268818,0.0006264715,0.001257792,0.001274853,0.003661799,0.002696006,0.001591354,0.153614],"category_scores_gemma":[0.002279004,0.0007009913,0.001074667,0.001114947,0.0006714973,0.004129157,0.005012288,0.001839926,0.08695608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006111236,"about_ca_system_score_gemma":0.001042294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001881887,"about_ca_topic_score_gemma":0.002667274,"domain_scores_codex":[0.9988581,0.00008070797,0.00007210026,0.0003006683,0.0005234634,0.0001649293],"domain_scores_gemma":[0.9988675,0.00009694751,0.00003813945,0.0006055629,0.0002940396,0.00009788377],"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":[0.0003999636,0.0001698837,0.001219079,0.0006975216,0.00005940955,0.0004881361,0.001008967,0.004796779,0.03629335,0.1262056,0.2410221,0.5876392],"study_design_scores_gemma":[0.00002571206,0.00005752929,0.0005997046,0.00008644896,0.00002054079,0.0004641732,0.0002411455,0.0122237,0.01396608,0.02264323,0.9496266,0.00004509299],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01008074,0.0007804063,0.5806796,0.0009709687,0.001506425,0.0005571153,0.005737448,0.07915165,0.3205356],"genre_scores_gemma":[0.1388745,0.001242722,0.429334,0.002114156,0.0003506123,0.000822631,0.02195907,0.0247028,0.3805994],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.153614,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04246631831119201,"score_gpt":0.3233218733643536,"score_spread":0.2808555550531616,"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."}}