{"id":"W2112103637","doi":"10.1145/1054972.1055012","title":"The bubble cursor","year":2005,"lang":"en","type":"article","venue":"","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":589,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Cursor (databases); Computer science; Bubble; Fitts's law; Computer vision; Artificial intelligence; Target acquisition; Computer graphics (images); Movement (music); Acoustics; Physics","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":[0.0004294829,0.001013686,0.0008010601,0.000582947,0.0002487734,0.0006917989,0.001547791,0.001043193,0.01655392],"category_scores_gemma":[0.002918621,0.0004108775,0.0003096195,0.0005006386,0.0004482092,0.001616787,0.001103196,0.0007929738,0.00543877],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002304707,"about_ca_system_score_gemma":0.0005223941,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001721114,"about_ca_topic_score_gemma":0.002580249,"domain_scores_codex":[0.9994183,0.00007596765,0.00002322789,0.000158226,0.0002742348,0.00005008366],"domain_scores_gemma":[0.9981155,0.000779034,0.0001404704,0.0003419108,0.0004140827,0.0002089895],"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":[0.001011485,0.0001479181,0.00110152,0.0009069418,0.00009755333,0.0004662959,0.0003656693,0.004943583,0.2948945,0.01068557,0.04383425,0.6415448],"study_design_scores_gemma":[0.0005200917,0.002753575,0.004349872,0.0002831935,0.0002061368,0.005570422,0.0001464248,0.2289805,0.3235023,0.007693545,0.4256084,0.0003855797],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.01407755,0.001570657,0.9445383,0.0003084262,0.0004102452,0.000223429,0.0005450479,0.02845268,0.009873592],"genre_scores_gemma":[0.1827668,0.001154401,0.7931578,0.0008348196,0.0002207677,0.0003608609,0.0006817863,0.002599878,0.01822282],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01655392,"threshold_uncertainty_score":0.05537832,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003699037095195828,"score_gpt":0.1713804744151503,"score_spread":0.1676814373199545,"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."}}