{"id":"W2109799185","doi":"10.1145/2076354.2076382","title":"ZoomPointing revisited","year":2011,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Offset (computer science); Workflow; Human–computer interaction; Zoom; Task (project management); Engineering; Database; Programming language","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":[0.001226926,0.0009238551,0.0004700701,0.0003942557,0.0005722462,0.001291198,0.001509471,0.0008438026,0.00909501],"category_scores_gemma":[0.004485392,0.0004425029,0.0004843267,0.0002887584,0.001484241,0.002359953,0.001941772,0.00113191,0.0009768696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003294151,"about_ca_system_score_gemma":0.0003264498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004804204,"about_ca_topic_score_gemma":0.0007461093,"domain_scores_codex":[0.9990399,0.0002744459,0.00004370246,0.0002252445,0.0003210906,0.0000956029],"domain_scores_gemma":[0.9980239,0.001199607,0.0001015085,0.0003528549,0.0001972713,0.0001249295],"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":[0.001249649,0.0001975768,0.002999221,0.001659514,0.0001059685,0.002437485,0.01149251,0.01208392,0.241827,0.1720504,0.006566914,0.5473298],"study_design_scores_gemma":[0.000436081,0.002462655,0.008485766,0.0007907876,0.000389173,0.01029339,0.004513977,0.1862704,0.2447927,0.1609985,0.3801505,0.0004160535],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05390684,0.001379951,0.9203124,0.0004609702,0.000149325,0.0001606503,0.00005216965,0.002668731,0.02090888],"genre_scores_gemma":[0.5511213,0.0008461073,0.4345925,0.0005298016,0.00006470902,0.0002372874,0.00008974479,0.0005134455,0.01200501],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00909501,"threshold_uncertainty_score":0.03042585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03407147017416566,"score_gpt":0.2373317235309449,"score_spread":0.2032602533567792,"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."}}