{"id":"W2902565707","doi":"10.1145/3277644.3277760","title":"Hands-on","year":2018,"lang":"en","type":"article","venue":"","topic":"Human Motion and Animation","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Shader; Computer science; Computer graphics (images); OpenGL; Graphics; Rapid prototyping; Entertainment; Human–computer interaction; Multimedia; Visualization; Artificial intelligence; Engineering","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":[0.002063959,0.002248694,0.001053509,0.0009391977,0.001501882,0.003082948,0.003159169,0.002168986,0.5404687],"category_scores_gemma":[0.007434425,0.0005982889,0.0010934,0.0004460895,0.00123968,0.003954803,0.008519802,0.002162198,0.265262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008406614,"about_ca_system_score_gemma":0.001066434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009384951,"about_ca_topic_score_gemma":0.002670832,"domain_scores_codex":[0.9978205,0.0002976374,0.00007416642,0.0004581332,0.0008106561,0.0005389209],"domain_scores_gemma":[0.9964116,0.0006998936,0.0001123621,0.0009152323,0.00058946,0.001271425],"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":[0.0009212012,0.001756887,0.001171237,0.0003907548,0.0000271064,0.000950941,0.001232401,0.001315037,0.02129027,0.01419724,0.3701112,0.5866358],"study_design_scores_gemma":[0.0001937639,0.0007809948,0.001804684,0.0002668857,0.00002226087,0.002236758,0.0005760354,0.002195647,0.00638146,0.01290944,0.97251,0.0001220391],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02383613,0.001534391,0.2147425,0.006399214,0.005984272,0.0008403906,0.001605915,0.01454221,0.7305151],"genre_scores_gemma":[0.1147926,0.001515386,0.05520814,0.004539307,0.001804556,0.0009231876,0.002729383,0.003446328,0.8150411],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5404687,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01044442985433322,"score_gpt":0.2036475468429432,"score_spread":0.19320311698861,"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."}}