{"id":"W2963440789","doi":"10.1145/3306306.3328008","title":"Hands-on","year":2019,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University of Edmonton","keywords":"Shader; Computer science; Computer graphics (images); OpenGL; Graphics; Multimedia; Rapid prototyping; Human–computer interaction; Visualization; Artificial intelligence; Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002221885,0.001845145,0.001012697,0.0009953722,0.001720241,0.003594562,0.003072991,0.002318072,0.5257804],"category_scores_gemma":[0.008620204,0.0005852919,0.001029073,0.000523951,0.001352771,0.004449659,0.008829439,0.002105342,0.2491098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009517641,"about_ca_system_score_gemma":0.00120025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001165311,"about_ca_topic_score_gemma":0.003505264,"domain_scores_codex":[0.9975128,0.0003784942,0.00008158202,0.000528203,0.0009152883,0.0005836749],"domain_scores_gemma":[0.9959202,0.0008998627,0.0001351543,0.001037773,0.0006724285,0.001334645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008155995,0.001510643,0.001127243,0.0004258653,0.00002597978,0.000747839,0.001582375,0.001069904,0.01627179,0.01711122,0.3504363,0.6088752],"study_design_scores_gemma":[0.0001458881,0.000561967,0.001358008,0.0002453255,0.00001884063,0.001493263,0.0005696207,0.001528229,0.004109896,0.01070985,0.9791656,0.00009367779],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02099947,0.001824454,0.1887547,0.006572518,0.005958323,0.0007535346,0.001350413,0.01213952,0.7616472],"genre_scores_gemma":[0.11564,0.001580966,0.05426083,0.005288715,0.001812615,0.0009180551,0.002427675,0.003105512,0.8149657],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4742196,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003993657761521876,"score_gpt":0.1621901621397119,"score_spread":0.15819650437819,"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."}}