{"id":"W2008402400","doi":"10.1016/j.ijhcs.2014.07.003","title":"A model of scrolling on touch-sensitive displays","year":2014,"lang":"en","type":"article","venue":"International Journal of Human-Computer Studies","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Scrolling; Computer science; Panning (audio); Human–computer interaction; Artificial intelligence; Zoom; Engineering","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":[0.0003073018,0.0001718342,0.0003778934,0.0003482988,0.00009399031,0.00008397537,0.0009941463,0.00003157602,0.000002586458],"category_scores_gemma":[0.00008227631,0.000136173,0.0002518308,0.0000739657,0.0000864445,0.0005653127,0.0003199457,0.0002089543,0.00001121788],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008110413,"about_ca_system_score_gemma":0.00003155875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003901137,"about_ca_topic_score_gemma":0.000002045484,"domain_scores_codex":[0.998386,0.00007432417,0.0005553644,0.0002073376,0.0006131774,0.0001638565],"domain_scores_gemma":[0.9969535,0.0003103566,0.00062191,0.0001753235,0.001891533,0.00004735597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005111267,0.001128744,0.0007526875,0.00005870406,0.007968546,0.0002837201,0.02931019,0.08829968,0.1387939,0.689634,0.01736696,0.02589182],"study_design_scores_gemma":[0.003950642,0.003684058,0.004713044,0.0016575,0.0001448691,0.0002826251,0.0009482884,0.73945,0.2046842,0.03875021,0.0009365287,0.0007980892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1764599,0.0001020663,0.8179761,0.001218901,0.002184392,0.00005506407,0.00000520356,0.00000730418,0.001991122],"genre_scores_gemma":[0.9860699,0.00004210457,0.01227845,0.0009285862,0.0006125875,0.000001207634,9.02883e-7,0.000008086019,0.0000581597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8096101,"threshold_uncertainty_score":0.5552976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05358328847224307,"score_gpt":0.3427535307026644,"score_spread":0.2891702422304213,"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."}}