{"id":"W2557781670","doi":"10.1145/2988458.2988460","title":"Hands-on","year":2016,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Tata Institute of Fundamental Research","keywords":"Shader; OpenGL; Computer science; Computer graphics (images); Graphics; Entertainment; Rapid prototyping; Human–computer interaction; Multimedia; 3D computer graphics; Artificial intelligence; Visualization; Engineering; Visual arts","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":[0.002108669,0.002229163,0.001211046,0.0008788824,0.001167243,0.003192865,0.003591967,0.001942888,0.450419],"category_scores_gemma":[0.005243279,0.0004836752,0.001361771,0.0004036675,0.0009482721,0.003026531,0.00801299,0.002754881,0.238787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008607715,"about_ca_system_score_gemma":0.001279078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007317809,"about_ca_topic_score_gemma":0.001985086,"domain_scores_codex":[0.9979718,0.000244586,0.00005949938,0.0004052334,0.0008907371,0.0004281775],"domain_scores_gemma":[0.9969243,0.000368876,0.00008993808,0.0005324004,0.0005810132,0.001503393],"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":[0.0004478835,0.001714863,0.0007418075,0.0002792061,0.00001605916,0.0007170326,0.0006036013,0.0008799245,0.01457556,0.007356719,0.4579511,0.5147162],"study_design_scores_gemma":[0.0001242382,0.0006554412,0.00152123,0.0002233943,0.00001577754,0.001762513,0.0002199024,0.001263171,0.003646096,0.00664971,0.9838341,0.00008448395],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.02106229,0.002525581,0.2448427,0.01142765,0.01432068,0.00162263,0.002224205,0.01724482,0.6847294],"genre_scores_gemma":[0.04915587,0.001912544,0.05972103,0.005133076,0.002129844,0.001071427,0.002166631,0.002252826,0.8764567],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.450419,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01034756431048701,"score_gpt":0.2343754808110122,"score_spread":0.2240279165005252,"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."}}