{"id":"W2914147320","doi":"","title":"Proceedings of Graphics Interface 2011","year":2011,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer graphics; Computer science; Graphics; Computer graphics (images); Visualization; Interface (matter); Human–computer interaction; Scientific visualization; User interface; Event (particle physics); Information visualization; Multimedia; Artificial intelligence; Operating system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001535287,0.0002210535,0.0002223403,0.0002642132,0.00004102198,0.00002568269,0.0003521341,0.0001548137,0.0002711074],"category_scores_gemma":[0.00001483715,0.0002185838,0.00008486636,0.0002520545,0.0001015953,0.0002573474,0.00006726259,0.0002999741,0.0000274723],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001520761,"about_ca_system_score_gemma":0.000006516076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004595068,"about_ca_topic_score_gemma":0.00001204744,"domain_scores_codex":[0.9990138,0.000004037561,0.0003403962,0.0002183501,0.000168334,0.0002550767],"domain_scores_gemma":[0.999478,0.00001458626,0.00009163544,0.0001663172,0.0001726253,0.00007679414],"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":[0.001201715,0.00194412,0.05792535,0.01718054,0.003295274,0.00002279512,0.09694868,0.08474795,0.0620326,0.5725819,0.08411767,0.01800138],"study_design_scores_gemma":[0.0004857751,0.0002481228,0.003979249,0.0002823058,0.00007552029,0.00001453789,0.0004308787,0.0306833,0.9486041,0.009295861,0.005186833,0.0007135086],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8507302,0.001546593,0.1034404,0.00003923432,0.0008454456,0.0003479405,0.00002021236,0.0008175033,0.04221248],"genre_scores_gemma":[0.9967912,0.0005165102,0.00238621,0.0000184514,0.00002188407,0.00001306978,0.000001671428,0.00005036619,0.000200627],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8865715,"threshold_uncertainty_score":0.8913587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02173098570307605,"score_gpt":0.2198958184273599,"score_spread":0.1981648327242839,"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."}}