{"id":"W7098214858","doi":"","title":"FOR PATH FOLLOWING OF OUTDOOR WHEELED MOBILE ROBOTS”","year":2011,"lang":"en","type":"article","venue":"","topic":"Machine Learning in Materials Science","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Permission; Acknowledgement; Path (computing); Field (mathematics); Control (management); Signature (topology)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001114262,0.000130856,0.0002720492,0.00005180008,0.00009685647,0.00003887847,0.0005074586,0.00005365495,0.003252661],"category_scores_gemma":[0.0002232912,0.0001018852,0.0001151219,0.0001029528,0.00008148999,0.0002280376,0.0001115478,0.00003790997,0.0001614501],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001476055,"about_ca_system_score_gemma":0.000043093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002139466,"about_ca_topic_score_gemma":0.000007673251,"domain_scores_codex":[0.9986727,0.0000690727,0.0003600564,0.0003328004,0.00023364,0.000331781],"domain_scores_gemma":[0.9992374,0.00009407451,0.0001697608,0.0003567104,0.00007072946,0.00007132959],"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":[0.00003554006,0.00006281649,0.002736557,0.00004393008,0.000003402067,0.000001677367,0.0007499104,0.0002931309,0.9934729,0.002094242,0.000259387,0.0002464506],"study_design_scores_gemma":[0.0005338709,0.000421368,0.002428602,0.00004228387,0.00002013591,0.000003097556,0.0002219717,0.003398834,0.9903487,0.001569694,0.0007644458,0.0002469856],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9473126,0.0000207403,0.04361275,0.0000174071,0.0008767522,0.0006834635,0.00001139271,0.0001471389,0.00731776],"genre_scores_gemma":[0.8148364,7.255437e-7,0.183919,0.00006563913,0.00004049244,0.0001821844,0.000001817511,0.00001576655,0.0009379345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1403062,"threshold_uncertainty_score":0.9976585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02728442217005331,"score_gpt":0.2735435877628005,"score_spread":0.2462591655927472,"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."}}