{"id":"W7147728785","doi":"10.1145/3769872.3769893","title":"What's the Thumb Doing? Improving Precision for Thumb-to-Finger Interactions on Hand Proximate User Interfaces","year":2025,"lang":"","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Leverage (statistics); Thumb; Simple (philosophy); User interface; Tracking (education); Rule of thumb","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","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0008490328,0.0006107368,0.0004802112,0.0005188602,0.001776082,0.006319028,0.002182906,0.0001370494,0.0003610678],"category_scores_gemma":[0.0004074436,0.0004046026,0.0004216165,0.0007770087,0.0002261544,0.004407813,0.001420599,0.0006656459,0.0005245628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002846829,"about_ca_system_score_gemma":0.0002409755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001174154,"about_ca_topic_score_gemma":0.0002469632,"domain_scores_codex":[0.9962634,0.000247481,0.0008060734,0.001373627,0.0004052359,0.0009041278],"domain_scores_gemma":[0.9954194,0.001797296,0.0003622805,0.001387994,0.0008941038,0.0001389138],"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":[0.003051828,0.001507087,0.0001425243,0.0003586737,0.0009866303,0.000008485369,0.03568683,0.0009224133,0.4007985,0.08666488,0.08170783,0.3881643],"study_design_scores_gemma":[0.001136027,0.001550181,0.0008112736,0.003420287,0.0001749241,0.000008721844,0.01053005,0.0968245,0.7583789,0.002113984,0.1242644,0.0007867697],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06369385,0.0003303527,0.8809307,0.01965622,0.01732927,0.003359901,0.00002245612,0.00004737758,0.0146299],"genre_scores_gemma":[0.9450142,0.00007440372,0.003203347,0.008831396,0.0002444318,0.0004043428,0.000004505379,0.00004010003,0.04218329],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8813204,"threshold_uncertainty_score":0.9998406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01664031854675536,"score_gpt":0.3184788302158723,"score_spread":0.301838511669117,"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."}}