{"id":"W1986958791","doi":"10.1145/1462027.1462037","title":"Presentation tools for high-resolution and multiple displays","year":2008,"lang":"en","type":"article","venue":"","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Presentation (obstetrics); Computer science; Software; Software deployment; Process (computing); Overhead (engineering); Multimedia; Software design; Focus (optics); Software engineering; Human–computer interaction; Metaphor; Software development; Operating system","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003939875,0.00005308738,0.00006021407,0.00002399541,0.0001308416,0.00001545816,0.0000271938,0.00004003067,0.0002342133],"category_scores_gemma":[0.0001460798,0.00004467717,0.00001439568,0.00004423453,0.00004272963,0.0001357698,0.00001088109,0.00003675549,0.00007448698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003536328,"about_ca_system_score_gemma":0.000005314409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001163964,"about_ca_topic_score_gemma":0.00001641638,"domain_scores_codex":[0.9995895,0.00002356354,0.00007533388,0.0001520546,0.00004583512,0.0001137296],"domain_scores_gemma":[0.9995779,0.0002672589,0.00002746093,0.00004423392,0.00005697425,0.00002611888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002670461,0.001219477,0.3362592,0.0002649241,0.0003042172,0.00003355491,0.01451263,0.0001059715,0.009919106,0.1649618,0.07268947,0.3970592],"study_design_scores_gemma":[0.002660678,0.0005209474,0.9743271,0.00001157124,0.00002604155,0.00003629016,0.0012935,0.0008106524,0.00300287,0.001717525,0.01537834,0.0002144566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9490241,0.0001179412,0.04207431,0.0002660165,0.0001394335,0.0002393273,0.00001208749,0.00006525722,0.008061516],"genre_scores_gemma":[0.9863659,0.00001119096,0.0006147578,0.000171387,0.00009296492,0.00006726608,0.00004849638,0.000007298814,0.01262078],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6380679,"threshold_uncertainty_score":0.2564471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08242083316860349,"score_gpt":0.3575818480910437,"score_spread":0.2751610149224402,"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."}}