{"id":"W2181804636","doi":"","title":"Autonomous Navigation Through Crowds","year":2011,"lang":"en","type":"article","venue":"","topic":"Reinforcement Learning in Robotics","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Crowds; Computer science; Presentation (obstetrics); Artificial intelligence; Reinforcement learning; Computer vision; Mobile robot; Human–computer interaction; Robot; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000898816,0.00006721451,0.00005696229,0.00002072938,0.0000639727,0.00006343096,0.0005179702,0.00003522401,0.0001347162],"category_scores_gemma":[0.000009451595,0.00005915277,0.00002738756,0.0001484049,0.00002366291,0.0006608739,0.0001393906,0.00007292844,0.0005098191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000240704,"about_ca_system_score_gemma":0.00002697674,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005875947,"about_ca_topic_score_gemma":6.66804e-7,"domain_scores_codex":[0.9993912,0.000016372,0.0001337982,0.0001628177,0.0001374544,0.0001583445],"domain_scores_gemma":[0.9994776,0.00001543761,0.00004995072,0.0003884934,0.00003791261,0.00003063331],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001464836,0.00002415397,0.001421799,0.000007812305,0.00001297939,0.00001205662,0.005353857,0.01928357,0.0001689645,0.9667406,0.001503461,0.005469257],"study_design_scores_gemma":[0.0004075435,0.0002987941,0.009244635,0.00002430187,0.000007968663,0.00003638093,0.00008366886,0.9208504,0.02439487,0.01603971,0.02813625,0.0004754946],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001383035,0.000004961591,0.7593146,0.00007225607,0.000222745,0.00004699402,2.923613e-8,0.0002745139,0.2386809],"genre_scores_gemma":[0.652974,0.000001324125,0.3419116,0.0003322109,0.00002073915,0.000003482506,0.000001169152,0.000004660957,0.00475074],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9507009,"threshold_uncertainty_score":0.6552864,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04958624137517291,"score_gpt":0.254975453139823,"score_spread":0.2053892117646501,"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."}}