{"id":"W4379792682","doi":"10.23977/jaip.2023.060310","title":"Design and Implementation of Tour Guide Robot for Red Education Base","year":2023,"lang":"en","type":"article","venue":"Journal of Artificial Intelligence Practice","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robot; STM32; The Internet; Obstacle; Obstacle avoidance; Motion planning; Control (management); Computer science; Base (topology); Path (computing); Human–computer interaction; Motion (physics); Mobile robot; Artificial intelligence; Simulation; World Wide Web; Political science; Telecommunications; Operating system; Mathematics","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":[0.0002137226,0.0006057927,0.0003822048,0.0004823152,0.0005300418,0.0004826587,0.00105129,0.0006740626,0.004165843],"category_scores_gemma":[0.0001981944,0.0003543167,0.000299714,0.0001585995,0.0002450553,0.0003550876,0.0005674601,0.0004001286,0.001520239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000227547,"about_ca_system_score_gemma":0.000992406,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003263155,"about_ca_topic_score_gemma":0.002378016,"domain_scores_codex":[0.9997091,0.00002801164,0.00001423585,0.00006617484,0.000127105,0.00005538383],"domain_scores_gemma":[0.9998739,0.000007105467,0.00001197842,0.00001250246,0.0000641544,0.00003050356],"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":[0.0005605033,0.0004365229,0.007169511,0.001222807,0.0001090202,0.002285126,0.001530332,0.04060774,0.3613555,0.01419243,0.02848634,0.5420442],"study_design_scores_gemma":[0.0004679061,0.00294734,0.01739326,0.0002467513,0.0002601998,0.003790122,0.001136242,0.413666,0.2346512,0.002113238,0.3229789,0.0003488155],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07653467,0.0004464943,0.8766267,0.0003923447,0.0003507305,0.0007418274,0.0002445747,0.01241687,0.03224591],"genre_scores_gemma":[0.5546912,0.0004520796,0.4015992,0.0003185968,0.00004704739,0.0008573917,0.0004888304,0.0003003867,0.0412454],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004165843,"threshold_uncertainty_score":0.0139361,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09207457828136535,"score_gpt":0.4226596775269403,"score_spread":0.330585099245575,"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."}}