{"id":"W2045851275","doi":"10.1145/1414471.1414483","title":"Hover or tap?","year":2008,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Institutes of Health Research","keywords":"Computer science; Popularity; Focus (optics); Control (management); Simulation; Human–computer interaction; Artificial intelligence; Psychology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001134669,0.0005270583,0.0003687471,0.0003940009,0.0008487312,0.002281836,0.0007333324,0.001593613,0.03228643],"category_scores_gemma":[0.01073875,0.0001962837,0.0002872616,0.0003733317,0.001447567,0.004987033,0.001513567,0.001113421,0.01302773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002689645,"about_ca_system_score_gemma":0.0003527876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001370078,"about_ca_topic_score_gemma":0.002713093,"domain_scores_codex":[0.9992201,0.0002695137,0.00004155152,0.0001402437,0.0002163461,0.0001122667],"domain_scores_gemma":[0.9977205,0.001059332,0.0002608468,0.0003153923,0.0003686315,0.0002753194],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003267392,0.0001102236,0.01106027,0.0005407293,0.00003054822,0.0006657961,0.005845025,0.00009884022,0.003898892,0.01256596,0.1803702,0.7844869],"study_design_scores_gemma":[0.00005620371,0.0006534039,0.02102052,0.0008593847,0.00007907315,0.009502162,0.0221393,0.00149098,0.004951335,0.02288242,0.9162087,0.0001565353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3200659,0.039447,0.1359729,0.1053916,0.01012042,0.0004243733,0.001642416,0.01367106,0.3732643],"genre_scores_gemma":[0.7379197,0.01606805,0.04080724,0.03276625,0.001547238,0.000198646,0.001053843,0.001447471,0.1681916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03228643,"threshold_uncertainty_score":0.1080089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03469912047716549,"score_gpt":0.2577001410565486,"score_spread":0.2230010205793831,"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."}}