{"id":"W4412206814","doi":"10.11575/prism/30781","title":"The Fat Thumb: Using the Thumb's Contact Size for Single-Handed Mobile Interaction","year":2011,"lang":"en","type":"article","venue":"Open MIND","topic":"Usability and User Interface Design","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates","keywords":"Thumb; Computer science; Biology; Anatomy","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009834784,0.0009101692,0.0003916466,0.0006958768,0.0003551153,0.001119664,0.0009412801,0.0009629696,0.004081023],"category_scores_gemma":[0.008754512,0.0002581971,0.000462474,0.0005204543,0.0007372494,0.001706241,0.001553877,0.0004815196,0.0005379941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001764394,"about_ca_system_score_gemma":0.0002612768,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005009118,"about_ca_topic_score_gemma":0.0007011386,"domain_scores_codex":[0.9988731,0.0003940843,0.0001147586,0.0001935082,0.0003408792,0.00008367652],"domain_scores_gemma":[0.9956468,0.002798329,0.0003010486,0.000736159,0.0003428324,0.0001749665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001728729,0.0003225555,0.005656656,0.002166848,0.0001128446,0.0008119514,0.003095858,0.003665873,0.4490639,0.007993983,0.003730998,0.5216497],"study_design_scores_gemma":[0.0009711104,0.01324516,0.08939493,0.0009830599,0.001043393,0.0169233,0.003881416,0.148879,0.5717062,0.02875501,0.1230866,0.001130916],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4224807,0.001905932,0.5532356,0.0003962185,0.0003946388,0.0006026065,0.0003934325,0.005466931,0.01512394],"genre_scores_gemma":[0.827436,0.0003520755,0.1696993,0.0001342428,0.00005528884,0.0003044819,0.0001172158,0.0002066451,0.001694656],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004081023,"threshold_uncertainty_score":0.01365232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2092986429983423,"score_gpt":0.3486305267740099,"score_spread":0.1393318837756675,"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."}}