{"id":"W3015167545","doi":"10.1145/3261427","title":"Session details: Display software","year":2016,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Session (web analytics); Computer science; Software; Computer graphics (images); Multimedia; World Wide Web; Programming language","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009807321,0.0001637189,0.0001205451,0.0002263729,0.0002955465,0.00005393178,0.0008739654,0.00008963056,0.00009707572],"category_scores_gemma":[0.00006571641,0.0001068734,0.0001784374,0.0004266115,0.00006770425,0.0009059628,0.00001765418,0.0001871323,0.0002866044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003851064,"about_ca_system_score_gemma":0.00003981352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009236495,"about_ca_topic_score_gemma":0.0000176725,"domain_scores_codex":[0.9988724,0.00006171774,0.0001636435,0.0003763574,0.0002498945,0.0002760004],"domain_scores_gemma":[0.9983977,0.000406739,0.00005676698,0.0009059605,0.0001330766,0.0000997561],"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":[0.0002754456,0.001706183,0.005133155,0.00006538865,0.0004830552,0.0001115932,0.001916134,0.00009353591,0.1895599,0.1154743,0.006705716,0.6784756],"study_design_scores_gemma":[0.005013014,0.002105506,0.08482526,0.001230902,0.0001979567,0.0002113434,0.0003939366,0.001782915,0.7199353,0.1058212,0.07568423,0.002798424],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.010407,0.00002297413,0.9855027,0.003035099,0.0006276336,0.00009418877,0.00002093905,0.00007881044,0.0002106653],"genre_scores_gemma":[0.9892182,0.0001283633,0.008701373,0.001364301,0.00002500288,0.00002853019,0.000001666325,0.00001461501,0.0005179977],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9788111,"threshold_uncertainty_score":0.4358171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01880864222214214,"score_gpt":0.2642778322627011,"score_spread":0.245469190040559,"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."}}