{"id":"W4205164824","doi":"10.1299/jsmermd.2021.2p1-m09","title":"Waypoint-based Human Navigation using Multiple Laser Projection Suit","year":2021,"lang":"en","type":"article","venue":"The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hatch (Canada)","funders":"","keywords":"Waypoint; Computer science; Projection (relational algebra); Computer vision; Artificial intelligence; Navigation system; Wearable computer; Simulation; Real-time computing; Embedded system; Algorithm","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":[0.0001718191,0.000541391,0.0005144625,0.0003138474,0.0002985024,0.0004428367,0.0006955668,0.0006033691,0.001816934],"category_scores_gemma":[0.0003693753,0.0002984227,0.0005079412,0.0002813106,0.0003546737,0.0007356664,0.001061204,0.0002904105,0.0004311317],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001301257,"about_ca_system_score_gemma":0.0002834663,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001492705,"about_ca_topic_score_gemma":0.001235411,"domain_scores_codex":[0.9996814,0.0000612235,0.00001372699,0.0000746715,0.0001445661,0.00002450254],"domain_scores_gemma":[0.9997264,0.00005964243,0.00003434534,0.00005740627,0.00008194697,0.00004028241],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005296511,0.00019013,0.003583654,0.0003008826,0.0001318954,0.0008482484,0.0006099131,0.01793285,0.698311,0.002069768,0.001583683,0.2739083],"study_design_scores_gemma":[0.0002420053,0.004437001,0.02693983,0.0001019042,0.000266202,0.005708959,0.0004806117,0.5556703,0.37988,0.002849055,0.02303529,0.0003888302],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2698836,0.0006599132,0.7220376,0.00009179462,0.0000878265,0.0001154779,0.00007055355,0.003060136,0.00399302],"genre_scores_gemma":[0.8633274,0.0003639485,0.1321879,0.00006733635,0.00002061083,0.0001081501,0.0000800773,0.00005603384,0.003788597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001816934,"threshold_uncertainty_score":0.006078243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04837023504147782,"score_gpt":0.2898763721229458,"score_spread":0.241506137081468,"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."}}