{"id":"W2078580987","doi":"10.1145/2788940.2794365","title":"Effects of Bezel Size in Large Tiled Display Gaming","year":2015,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Tile; Computer science; Computer graphics (images); Display size; Image resolution; Display device; Computer vision; Operating system; Art","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":[0.0006038274,0.0009734482,0.0005923655,0.0006191561,0.0005154811,0.002160731,0.0005983009,0.0005493524,0.007144067],"category_scores_gemma":[0.01513759,0.0005804393,0.0004014391,0.0004938638,0.0006829082,0.001165833,0.001451959,0.0008978157,0.0003924796],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004178102,"about_ca_system_score_gemma":0.0002971777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003513905,"about_ca_topic_score_gemma":0.003252102,"domain_scores_codex":[0.998976,0.000320288,0.00006430434,0.0001705236,0.0003069096,0.0001620434],"domain_scores_gemma":[0.9827213,0.01420502,0.000810994,0.0007473835,0.0006008156,0.0009144571],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.02788246,0.003625828,0.04408482,0.001336398,0.0003613335,0.001888079,0.004358335,0.1050179,0.623252,0.005165595,0.002017657,0.1810097],"study_design_scores_gemma":[0.002480206,0.01636836,0.3550855,0.0005278038,0.001244725,0.002877103,0.003682609,0.3207349,0.2753057,0.01116122,0.009807399,0.000724392],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9862733,0.0004811245,0.007867006,0.00008119139,0.00005328029,0.00006248845,0.0001585397,0.0003207754,0.00470231],"genre_scores_gemma":[0.9962172,0.0001182461,0.002838822,0.0000375584,0.000009284952,0.00002352668,0.00006617605,0.0001116244,0.0005776118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007144067,"threshold_uncertainty_score":0.02389926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008413400892216172,"score_gpt":0.2551375669125623,"score_spread":0.2467241660203461,"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."}}