{"id":"W4403900380","doi":"10.18280/mmep.111030","title":"Design and Implementation Low Cost Smart Cleaner Mobile Robot in Complex Environment","year":2024,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Human–computer interaction; Computer science; Mobile robot; Embedded system; Robot; Systems engineering; Engineering; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001226292,0.0003602528,0.0003848237,0.0002050671,0.0003804753,0.0003623504,0.0006362573,0.0004921383,0.002442281],"category_scores_gemma":[0.0001577151,0.0002103028,0.0002729248,0.0001424663,0.000211415,0.0003376044,0.0003466476,0.0002480742,0.0006669359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000195884,"about_ca_system_score_gemma":0.0005155003,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553362,"about_ca_topic_score_gemma":0.001585024,"domain_scores_codex":[0.9999024,0.000009476254,0.000003851708,0.00002731298,0.00004439777,0.00001267017],"domain_scores_gemma":[0.9999293,0.00001023926,0.00001245483,0.00001363483,0.00002716797,0.000007213654],"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":[0.0003224227,0.0001314122,0.002615015,0.0007614544,0.0000818488,0.0005666746,0.0002951421,0.2995466,0.3155886,0.01676356,0.004870039,0.3584573],"study_design_scores_gemma":[0.00008141458,0.0006429417,0.002454942,0.00002692871,0.00008292096,0.0004948321,0.0001109861,0.9057233,0.06510755,0.002643205,0.02259191,0.00003904031],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05017922,0.0003215532,0.9394664,0.0001619527,0.00007883473,0.0001086237,0.00004993399,0.001218199,0.008415203],"genre_scores_gemma":[0.7122273,0.0003110026,0.2718635,0.0001142546,0.00002545234,0.0002374195,0.0001107232,0.00006933281,0.0150409],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002442281,"threshold_uncertainty_score":0.008170187,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03793608394669088,"score_gpt":0.248425930959718,"score_spread":0.2104898470130271,"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."}}