{"id":"W2546744392","doi":"10.1109/gem.2015.7377210","title":"Uniform vs. non-uniform scaling of shooter games on large displays","year":2015,"lang":"en","type":"article","venue":"","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Scaling; Computer science; Constant (computer programming); Display size; Mathematics; Geometry; Display device","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":[0.002740379,0.00116135,0.0007482165,0.001025876,0.000429972,0.001926761,0.00106672,0.0007426642,0.003258137],"category_scores_gemma":[0.07427879,0.0004447622,0.0005789878,0.0007130057,0.001059653,0.003067739,0.001521977,0.0009324174,0.0005449568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004936864,"about_ca_system_score_gemma":0.0002553826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001311416,"about_ca_topic_score_gemma":0.001013799,"domain_scores_codex":[0.996204,0.001672753,0.0003859376,0.0006520846,0.0008219528,0.0002633357],"domain_scores_gemma":[0.934544,0.05213669,0.003828443,0.005504036,0.002367415,0.001619413],"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":[0.02372161,0.01211043,0.1315879,0.003564762,0.00100868,0.001521648,0.01145824,0.1650674,0.314657,0.01804405,0.004949239,0.3123091],"study_design_scores_gemma":[0.002206499,0.02437021,0.3977876,0.0004113416,0.0006630995,0.001322998,0.005295235,0.4675887,0.065697,0.02632441,0.007861643,0.0004711411],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9759108,0.0001616671,0.01905491,0.00008324351,0.00003834235,0.0002387104,0.0001204525,0.0002444443,0.004147414],"genre_scores_gemma":[0.9916398,0.00006554806,0.007297468,0.00004378581,0.00001835015,0.0001732441,0.0001044628,0.0001023346,0.000555088],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003258137,"threshold_uncertainty_score":0.01449269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.029275418194015,"score_gpt":0.3019294876731757,"score_spread":0.2726540694791607,"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."}}