{"id":"W2113771664","doi":"10.1145/1095034.1095059","title":"Zliding","year":2005,"lang":"en","type":"article","venue":"","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":98,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stylus; Zoom; Cursor (databases); Computer science; Computer vision; Scale (ratio); Artificial intelligence; Computer graphics (images); 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007255808,0.0008568154,0.0007109908,0.0005298543,0.0005159938,0.001157465,0.001435919,0.0006980593,0.01095812],"category_scores_gemma":[0.003638859,0.0004847297,0.0004083313,0.0002911876,0.0007404601,0.002127816,0.003400238,0.0006658698,0.002062079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002514159,"about_ca_system_score_gemma":0.0003476264,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000259201,"about_ca_topic_score_gemma":0.0004922915,"domain_scores_codex":[0.9991326,0.00009339246,0.00007719563,0.0002251794,0.0003692025,0.0001025268],"domain_scores_gemma":[0.9983119,0.0004921674,0.000203602,0.0006051028,0.000236902,0.0001503493],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001159343,0.000157427,0.00308511,0.0007296625,0.00006327809,0.0004467223,0.001202545,0.00315797,0.4666933,0.02629616,0.005077593,0.4919309],"study_design_scores_gemma":[0.0002503642,0.002569687,0.0149821,0.0002605588,0.0001961674,0.003538563,0.0008217795,0.07219262,0.6487092,0.02241072,0.2337049,0.0003633389],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.1239761,0.0006889913,0.8486746,0.0002169997,0.0002481897,0.0003965319,0.0002672464,0.0101715,0.01535974],"genre_scores_gemma":[0.5594772,0.0004558767,0.4203806,0.000471717,0.00008053159,0.0004540674,0.0004633486,0.001126142,0.01709065],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01095812,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0709083022475285,"score_gpt":0.3172747723799365,"score_spread":0.246366470132408,"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."}}