{"id":"W2002002206","doi":"10.1145/1268517.1268537","title":"Pointer warping in heterogeneous multi-monitor environments","year":2007,"lang":"en","type":"article","venue":"Proceedings","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Image warping; Pointer (user interface); Computer science; Homogeneous; Computer vision; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001955665,0.0001201556,0.0001015516,0.0001484394,0.00005031374,0.00006651409,0.0004181978,0.00004569022,0.00001270593],"category_scores_gemma":[0.00002596155,0.0001173208,0.00005066723,0.000144408,0.00002394413,0.000652901,0.0001832123,0.0001417766,0.0001912184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082293,"about_ca_system_score_gemma":0.000004501717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001872353,"about_ca_topic_score_gemma":0.000001806525,"domain_scores_codex":[0.9989811,0.000003089285,0.0001859055,0.0003154491,0.0001505444,0.0003638965],"domain_scores_gemma":[0.9997371,0.00001832102,0.00006439446,0.0000839314,0.00002975937,0.00006647513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00009064763,0.0004881703,0.05759814,0.00004052765,0.00004722871,0.0001473067,0.01007805,0.00002142657,0.9200131,0.003133171,0.0005290919,0.007813188],"study_design_scores_gemma":[0.001136706,0.0001380548,0.08550075,0.00009141584,0.000004292869,0.00007816578,0.000500425,0.0105575,0.8968664,0.0001918471,0.004547144,0.000387282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.887471,0.00006832673,0.106254,0.0002409628,0.000434221,0.000197888,6.472953e-7,0.00002693499,0.005305973],"genre_scores_gemma":[0.9954864,0.000005717205,0.003635636,0.0005295783,0.00005322623,0.000006796962,5.156412e-7,0.000009440382,0.0002726348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1080155,"threshold_uncertainty_score":0.4784203,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145665213639069,"score_gpt":0.264143373460144,"score_spread":0.2495768520962371,"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."}}