{"id":"W1991864773","doi":"10.1109/robot.2010.5509652","title":"Performance evaluation of monocular predictive display","year":2010,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Monocular; Computer vision; Artificial intelligence; Teleoperation; Task (project management); A priori and a posteriori; Control (management); Engineering","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":[0.0004552568,0.0004410691,0.0003904683,0.0003836588,0.0001981997,0.0004623226,0.0005800865,0.0004230707,0.003516245],"category_scores_gemma":[0.003407339,0.0001483375,0.0001411809,0.0002968223,0.0001936026,0.0004080519,0.0005175064,0.0002027166,0.0003081794],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002600292,"about_ca_system_score_gemma":0.0003349175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002713473,"about_ca_topic_score_gemma":0.001230429,"domain_scores_codex":[0.9994819,0.00009491924,0.00002070086,0.0001026865,0.0002269444,0.00007290972],"domain_scores_gemma":[0.9986761,0.0007700871,0.000109626,0.0001392049,0.0002183346,0.00008662856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00930888,0.0005380128,0.009773487,0.000733785,0.0001500994,0.0004593803,0.0005929518,0.08626375,0.4393547,0.0007956843,0.002305683,0.4497236],"study_design_scores_gemma":[0.0002554814,0.005625152,0.03594923,0.00004497545,0.0001153863,0.001081766,0.0002988076,0.7367577,0.2161089,0.0005823823,0.003075495,0.0001046782],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9109509,0.0006110304,0.08352978,0.00009146085,0.00004650135,0.00005213156,0.0002448441,0.001902515,0.002570804],"genre_scores_gemma":[0.9883145,0.00009351302,0.01069978,0.00001848487,0.000007711999,0.00001354839,0.0001460365,0.00003593269,0.0006704616],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003516245,"threshold_uncertainty_score":0.01176304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01221374212760044,"score_gpt":0.2305834976469486,"score_spread":0.2183697555193481,"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."}}