{"id":"W2031487579","doi":"10.3357/asem.3056.2011","title":"Tactile Cueing in Detecting and Controlling Pitch and Roll Motion","year":2011,"lang":"en","type":"article","venue":"Aviation Space and Environmental Medicine","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Defence Research and Development Canada","funders":"","keywords":"Torso; Computer vision; Offset (computer science); Computer science; Sensory cue; Motion (physics); Tactile display; Perception; Artificial intelligence; Acoustics; Simulation; Psychology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001529936,0.00008048758,0.0001140442,0.00006688636,0.0000897965,0.000009076108,0.0000173298,0.00003345138,0.000031111],"category_scores_gemma":[0.00009979494,0.00006900686,0.000006063858,0.00004212501,0.00007127666,0.0002281891,0.00001811237,0.00007583413,0.000001868846],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001783443,"about_ca_system_score_gemma":0.000001139757,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001741285,"about_ca_topic_score_gemma":0.00002159449,"domain_scores_codex":[0.999402,0.00004208665,0.0001333878,0.0002098968,0.0001065586,0.0001060001],"domain_scores_gemma":[0.9997294,0.00009387239,0.00007374138,0.00004731733,0.000001282122,0.00005441705],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00007794188,0.00002812163,0.09358396,0.00001322871,0.00000246027,0.000008812493,0.004741828,0.00001211911,0.8589191,0.000392879,0.000001224111,0.04221836],"study_design_scores_gemma":[0.004509039,0.0003311471,0.9321721,0.00008508262,0.00003224606,0.0000372319,0.003297552,0.03454381,0.02291495,0.001735391,0.0001453539,0.0001961102],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960501,0.0002685214,0.002586932,0.0003950516,0.00005113656,0.000165824,0.000001195388,0.00001272011,0.0004684712],"genre_scores_gemma":[0.9990721,0.0004623891,0.00008247934,0.0002700358,0.00004473864,0.000008647849,0.000001704114,0.000006455294,0.00005140333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8385881,"threshold_uncertainty_score":0.2814018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02595798976682752,"score_gpt":0.2138897585992246,"score_spread":0.187931768832397,"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."}}