{"id":"W2126306965","doi":"10.1145/2399016.2399103","title":"FittsTilt","year":2012,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":60,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tilt (camera); Touchscreen; Task (project management); Computer science; Throughput; Dwell time; Fitts's law; Selection (genetic algorithm); Position (finance); Simulation; Computer hardware; Artificial intelligence; Engineering; Structural engineering; Operating system; Psychology","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":[0.0008195583,0.0008720534,0.0005230111,0.0006162244,0.0002308357,0.0009171894,0.0008357828,0.0005929761,0.02195852],"category_scores_gemma":[0.006677336,0.0002535525,0.0004511592,0.0004408605,0.000278922,0.001306964,0.001058256,0.0003072635,0.004771858],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127512,"about_ca_system_score_gemma":0.0003754712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001844483,"about_ca_topic_score_gemma":0.001972894,"domain_scores_codex":[0.9989221,0.0001360778,0.00009400521,0.0001752444,0.0005436796,0.0001289399],"domain_scores_gemma":[0.9981588,0.0007918968,0.00009909085,0.0002630079,0.0005589087,0.0001283625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005993763,0.0004457237,0.0196226,0.001517642,0.0001807588,0.000993857,0.000951695,0.00659865,0.1566373,0.00319902,0.02533709,0.778522],"study_design_scores_gemma":[0.001503338,0.02000153,0.1327013,0.0005920678,0.0009612784,0.009683439,0.001475281,0.1666026,0.4569275,0.005825444,0.2030983,0.0006279617],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7348152,0.002565629,0.1586382,0.0005281168,0.0007309193,0.0009708591,0.006658165,0.04197219,0.05312077],"genre_scores_gemma":[0.9114102,0.0006609962,0.06154718,0.0003543853,0.00005392175,0.0004468898,0.005630598,0.00235169,0.01754427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02195852,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08729166308310439,"score_gpt":0.3232671661880362,"score_spread":0.2359755031049318,"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."}}