{"id":"W4225102759","doi":"10.1145/3491101.3519692","title":"MultiFingerBubble: A 3D Bubble Cursor Variation for Dense Environments","year":2022,"lang":"en","type":"article","venue":"CHI Conference on Human Factors in Computing Systems Extended Abstracts","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Interreg; European Regional Development Fund; European Commission","keywords":"Cursor (databases); Computer science; Bubble; Visualization; Data visualization; Artificial intelligence; Volume (thermodynamics); 3D interaction; Computer vision; Computer graphics (images); Virtual reality","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":[0.0006018009,0.001271594,0.0008208593,0.0007964206,0.0004091645,0.0008429017,0.002539086,0.001039008,0.00739755],"category_scores_gemma":[0.003489509,0.0005042694,0.0004938344,0.0004307209,0.0005669738,0.001738753,0.002258709,0.0007991128,0.00119414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004301048,"about_ca_system_score_gemma":0.0005133606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00174839,"about_ca_topic_score_gemma":0.003262225,"domain_scores_codex":[0.9992406,0.0001889694,0.00003851541,0.000137802,0.0003132423,0.00008090746],"domain_scores_gemma":[0.9980525,0.0009293444,0.0001480319,0.0002720885,0.0002767135,0.0003213289],"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":[0.001544827,0.0003504221,0.002233403,0.001170615,0.0001296776,0.0009072596,0.001481088,0.01609512,0.4540249,0.008266363,0.01073301,0.5030634],"study_design_scores_gemma":[0.0007619128,0.004857822,0.01372629,0.0004671564,0.0002830435,0.006077481,0.0007328464,0.4736547,0.273189,0.01303423,0.21222,0.0009955723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0502527,0.001245351,0.9341634,0.0002283214,0.0001993602,0.0002503596,0.0002453819,0.01043809,0.002977014],"genre_scores_gemma":[0.375368,0.0006457894,0.6158615,0.0004894682,0.00008964448,0.0004800363,0.0003527189,0.001869693,0.004843132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00739755,"threshold_uncertainty_score":0.02474731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0636902912467263,"score_gpt":0.3100617255436269,"score_spread":0.2463714342969006,"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."}}