{"id":"W2250036842","doi":"","title":"TouchMark: flexible document navigation and bookmarking techniques for e-book readers","year":2010,"lang":"en","type":"article","venue":"Graphics Interface","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Bookmarking; Computer science; Affordance; Gesture; Variety (cybernetics); Set (abstract data type); Multimedia; Human–computer interaction; World Wide Web; Computer graphics (images); Artificial intelligence; Programming language","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":[0.0003086713,0.0008035899,0.000544455,0.000697694,0.0005712737,0.001692135,0.001558402,0.00124063,0.03059042],"category_scores_gemma":[0.001628257,0.0003853657,0.000403277,0.0009192362,0.0004723476,0.003582784,0.002216579,0.0008704014,0.00831057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001786371,"about_ca_system_score_gemma":0.0002766193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004915909,"about_ca_topic_score_gemma":0.001428031,"domain_scores_codex":[0.9996108,0.00004496018,0.00002043082,0.0000652477,0.0002143192,0.00004420281],"domain_scores_gemma":[0.9994492,0.0001520531,0.00004036876,0.0001737828,0.0001018376,0.00008273523],"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":[0.0003032254,0.0002194042,0.0006151583,0.0006144239,0.00003280708,0.0006291503,0.0006503411,0.0009457725,0.1061028,0.007843163,0.04043376,0.8416101],"study_design_scores_gemma":[0.0002346066,0.0009348424,0.004115231,0.0002869487,0.0001501573,0.006483949,0.0005529134,0.03270835,0.3003398,0.01000368,0.6438727,0.0003168004],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03317852,0.004203198,0.8892108,0.0005064806,0.0006240678,0.0003482179,0.0006731778,0.02958231,0.04167324],"genre_scores_gemma":[0.1933977,0.004637672,0.677235,0.0007355056,0.0004304514,0.000482404,0.001701173,0.003514829,0.1178653],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03059042,"threshold_uncertainty_score":0.1023352,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01351378911670558,"score_gpt":0.29891013349362,"score_spread":0.2853963443769144,"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."}}