{"id":"W1575989225","doi":"10.1007/978-3-642-23771-3_12","title":"Moving Target Selection in 2D Graphical User Interfaces","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Selection (genetic algorithm); Target acquisition; Artificial intelligence; Human–computer interaction; Computer vision; Machine learning","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006110799,0.0005218301,0.0004959158,0.001498579,0.0001736038,0.0003414671,0.002619635,0.000351577,0.00009267886],"category_scores_gemma":[0.0000835226,0.0004840161,0.0001422804,0.0008428369,0.0004336704,0.001356107,0.001090112,0.001310084,0.00008472132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003315051,"about_ca_system_score_gemma":0.0002996151,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001197295,"about_ca_topic_score_gemma":0.0002284145,"domain_scores_codex":[0.9965493,0.00005631801,0.000514366,0.001529725,0.0006182207,0.0007320417],"domain_scores_gemma":[0.9985245,0.0002428804,0.0002522031,0.0005858072,0.000269393,0.0001251796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002369173,0.0006828145,0.01109068,0.0002736078,0.0001860769,0.0008927585,0.02031756,0.03756309,0.04236725,0.3672776,0.0005985525,0.5185131],"study_design_scores_gemma":[0.001002027,0.00110384,0.01267219,0.001848175,0.00002205052,0.0002857474,0.000002608052,0.4293377,0.09493341,0.4508887,0.004932029,0.002971531],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001474431,0.0001880231,0.990332,0.0002595608,0.001577619,0.0002768481,0.000002423039,0.00004823274,0.005840883],"genre_scores_gemma":[0.8811143,0.0000410947,0.1163879,0.001645483,0.0002839894,0.0000133349,0.000003704474,0.00004009416,0.0004700956],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8796399,"threshold_uncertainty_score":0.9997612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0145029369382668,"score_gpt":0.2436866752220719,"score_spread":0.2291837382838051,"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."}}