{"id":"W1937852272","doi":"10.1109/sicici.1992.637637","title":"An Autonomous Mobile Robot","year":2005,"lang":"en","type":"article","venue":"","topic":"Robotic Path Planning Algorithms","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Mobile robot; Computer science; Robot; Human–computer interaction; Artificial intelligence","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":[0.00006171636,0.0003156944,0.0002199416,0.0002289629,0.0004840015,0.00042703,0.0004371725,0.0006311216,0.005805492],"category_scores_gemma":[0.0002224134,0.0001592948,0.0002144086,0.0001697641,0.0003224549,0.0006219762,0.0007022226,0.0003430183,0.001837055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001758009,"about_ca_system_score_gemma":0.0003862766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007056066,"about_ca_topic_score_gemma":0.0008236836,"domain_scores_codex":[0.9999187,0.000007709757,0.000002369299,0.00003003299,0.00003220957,0.000008972735],"domain_scores_gemma":[0.9999455,0.00000869893,0.000005502175,0.000009757067,0.00001685176,0.00001376542],"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":[0.0003767289,0.0001766719,0.001929974,0.0003011332,0.0000411143,0.00117939,0.0002167608,0.07591132,0.2883641,0.09528067,0.01758872,0.5186334],"study_design_scores_gemma":[0.0001135713,0.000760177,0.002878616,0.00004909628,0.00006296025,0.001939798,0.0001549789,0.6783493,0.070471,0.06559059,0.1795596,0.00007030438],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1015087,0.0006753181,0.8149809,0.001256085,0.0005601101,0.0001750209,0.0003230688,0.004475417,0.07604547],"genre_scores_gemma":[0.6562631,0.0004201174,0.2827088,0.0003131378,0.00009574713,0.0001729405,0.0003678278,0.0001237723,0.05953463],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005805492,"threshold_uncertainty_score":0.01942128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01284192649302339,"score_gpt":0.2700582861269363,"score_spread":0.2572163596339129,"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."}}