{"id":"W1593893784","doi":"10.1007/978-3-540-73333-1_44","title":"Evaluation of Guiard’s Theory of Bimanual Control for Navigation and Selection","year":2007,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Computer science; Popularity; Selection (genetic algorithm); Control (management); Human–computer interaction; Movement control; Artificial intelligence; Psychology; Physical medicine and rehabilitation","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":[0.005634722,0.0009224609,0.0009153931,0.001675741,0.001036504,0.002257633,0.002291558,0.001548528,0.01175573],"category_scores_gemma":[0.0168702,0.0004736802,0.0008274225,0.001094104,0.003737653,0.004596778,0.002087104,0.001353154,0.0009258492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00240208,"about_ca_system_score_gemma":0.002503993,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01611277,"about_ca_topic_score_gemma":0.008236756,"domain_scores_codex":[0.9958385,0.00167609,0.0001178793,0.0004666628,0.001642816,0.0002580282],"domain_scores_gemma":[0.9914889,0.005841319,0.0001588522,0.0009288535,0.001436476,0.0001456261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006428376,0.0002162691,0.001722956,0.0001605447,0.00008487201,0.00009995922,0.0009972772,0.05300463,0.001761977,0.7731652,0.003048435,0.1650951],"study_design_scores_gemma":[0.0001656896,0.0005459633,0.002483325,0.0000853383,0.00008323442,0.0001766174,0.0006026489,0.7170838,0.004488379,0.2621229,0.01210016,0.0000619264],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08721977,0.001108911,0.7851102,0.001639512,0.0002796424,0.0003702063,0.0001600438,0.0006541177,0.1234576],"genre_scores_gemma":[0.8306099,0.0004965921,0.1572986,0.000242171,0.00007169363,0.000243443,0.0001495624,0.0001447947,0.01074331],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01611277,"threshold_uncertainty_score":0.03932685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03117214195925158,"score_gpt":0.3111151154609976,"score_spread":0.279942973501746,"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."}}