{"id":"W4391695369","doi":"10.1109/sii58957.2024.10417396","title":"Spatiotemporal Motion Profiles for Cost-Based Optimal Approaching Pose Estimation","year":2024,"lang":"en","type":"article","venue":"","topic":"Social Robot Interaction and HRI","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Proxemics; Mobile robot; Robot; Computer science; Motion (physics); Artificial intelligence; Computer vision; Mobile robot navigation; Function (biology); Human–computer interaction; Robot control","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001901916,0.00008727739,0.00008354295,0.0001063431,0.00008963129,0.0001072331,0.00004850433,0.000091429,0.001794978],"category_scores_gemma":[0.00004939986,0.00007998285,0.00008811035,0.00009317754,0.00001758973,0.0001548809,0.000005538463,0.0001101353,0.0003768469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006007094,"about_ca_system_score_gemma":0.00003192147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001318526,"about_ca_topic_score_gemma":0.00001024493,"domain_scores_codex":[0.9993492,0.00004573671,0.0001671995,0.0002149127,0.00008354198,0.0001394173],"domain_scores_gemma":[0.9996445,0.0001462483,0.00003623006,0.00009400158,0.00004126817,0.00003770613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003609886,0.0003709448,0.0006245493,0.0001716052,0.0001359209,0.000008010872,0.003932889,0.008847488,0.0006164796,0.3040969,0.0833449,0.5974893],"study_design_scores_gemma":[0.0006731602,0.0001581525,0.002438247,0.00004339645,0.00004067442,0.000006706953,0.001085768,0.9730924,0.00162508,0.0009247856,0.01970126,0.0002103589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01624173,0.00004094834,0.9565387,0.001972406,0.002414584,0.0007846485,0.00001906006,0.0004130526,0.02157484],"genre_scores_gemma":[0.9602923,2.22999e-7,0.0329521,0.0003207655,0.0003352864,0.0003623469,0.0002591721,0.0000243872,0.005453397],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9642449,"threshold_uncertainty_score":0.9991175,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07664315361538777,"score_gpt":0.4131012958505187,"score_spread":0.336458142235131,"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."}}