{"id":"W4400765218","doi":"10.1007/978-3-031-63992-0_25","title":"Exploring Optimal Placement of Head-Based Hierarchical Marking Menus on Smartphones","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia, Okanagan Campus; Kelowna General Hospital; University of British Columbia","funders":"","keywords":"Head (geology); Computer science; Geology; Paleontology","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":[],"consensus_categories":[],"category_scores_codex":[0.0002648209,0.0002448786,0.0003172545,0.0002972969,0.0004156025,0.00013348,0.001391659,0.0000959852,9.827531e-7],"category_scores_gemma":[0.00002976031,0.0001935398,0.000229671,0.0001844982,0.00026503,0.000332987,0.0006202074,0.0004124641,0.00000114518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007521474,"about_ca_system_score_gemma":0.0001366295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000136769,"about_ca_topic_score_gemma":0.000009870082,"domain_scores_codex":[0.9988386,0.000008985214,0.0005102201,0.0001635774,0.0002795277,0.0001990849],"domain_scores_gemma":[0.9986907,0.0003985721,0.0002931136,0.0004544683,0.0001273995,0.00003577296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006554025,0.00001809142,7.088077e-7,0.0002545314,0.00009309172,1.993053e-7,0.001568056,0.8426084,0.00008443313,0.1514282,0.00002878187,0.003908977],"study_design_scores_gemma":[0.0002234609,0.000235572,0.00003679692,0.0009589804,0.00004620366,0.000005236254,0.000009312095,0.9774951,0.002695097,0.0005912564,0.0174003,0.0003026709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001187945,0.0001873915,0.9935091,0.0008089491,0.0009705525,0.0003546794,0.0000530425,0.00002577069,0.002902618],"genre_scores_gemma":[0.112018,0.00007894801,0.8873411,0.0002488661,0.0001443437,0.0000459213,0.00003034349,0.0000221383,0.00007028299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1508369,"threshold_uncertainty_score":0.7892323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06156223767423117,"score_gpt":0.2686735682701245,"score_spread":0.2071113305958933,"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."}}