{"id":"W2772487975","doi":"10.1109/roman.2017.8172418","title":"Tortoise and the Hare Robot: Slow and steady almost wins the race, but finishes more safely","year":2017,"lang":"en","type":"article","venue":"","topic":"Human-Automation Interaction and Safety","field":"Psychology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Teleoperation; Robot; Computer science; Obstacle; Simulation; Acceleration; Workload; Task (project management); Robot control; Mobile robot; Engineering; Artificial intelligence; Geography; Systems engineering; Operating system","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":[0.001569819,0.0005225724,0.0002508175,0.0004107839,0.001067174,0.00104331,0.0003483732,0.0005313258,0.004527774],"category_scores_gemma":[0.006375869,0.0002426602,0.0002835671,0.0001247066,0.001854486,0.001233786,0.001002874,0.0006059885,0.0005650147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003490965,"about_ca_system_score_gemma":0.0002645436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003531677,"about_ca_topic_score_gemma":0.005807626,"domain_scores_codex":[0.9994233,0.0002676621,0.00002069902,0.000112114,0.00009636486,0.00007984236],"domain_scores_gemma":[0.9978954,0.001008438,0.0002526442,0.0002032811,0.0002805753,0.0003596234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008267537,0.003788271,0.3871803,0.0009979398,0.0006298335,0.00151592,0.0453149,0.01055457,0.2766921,0.007778324,0.01133059,0.2459497],"study_design_scores_gemma":[0.0003718019,0.02024951,0.809935,0.000231452,0.0004693558,0.001892976,0.05395225,0.02184403,0.03580681,0.005685603,0.04918275,0.0003784754],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924878,0.00005603134,0.002146152,0.0002379755,0.00003016406,0.00002561837,0.0000247201,0.00008746518,0.00490406],"genre_scores_gemma":[0.9914009,0.00006560525,0.004039629,0.0002062193,0.000008936947,0.00004015657,0.00006187672,0.00003491953,0.004141799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004527774,"threshold_uncertainty_score":0.01514691,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412715128894157,"score_gpt":0.3539488927746889,"score_spread":0.3198217414857473,"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."}}