{"id":"W2150541902","doi":"10.1145/336154.336225","title":"Optimal robot localization in trees","year":2000,"lang":"en","type":"article","venue":"","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Robot; Artificial intelligence; Computer vision","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":[0.000268248,0.0005163304,0.001079833,0.0007578182,0.0004601278,0.0005966287,0.0005596427,0.0006122677,0.01080388],"category_scores_gemma":[0.001979199,0.0002932674,0.0003620856,0.001462116,0.0007682222,0.001357617,0.001125455,0.0008246267,0.002770507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004789784,"about_ca_system_score_gemma":0.0005214946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00186975,"about_ca_topic_score_gemma":0.002432892,"domain_scores_codex":[0.9997416,0.0000683989,0.000009074731,0.00005699822,0.00008018521,0.00004377563],"domain_scores_gemma":[0.9996188,0.0002200404,0.00003665647,0.00004077149,0.00004912884,0.00003453865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003299569,0.00007001872,0.0004793539,0.000804032,0.00007886039,0.0001576077,0.0001527708,0.4579276,0.01021182,0.1825878,0.03976396,0.3074363],"study_design_scores_gemma":[0.00007486563,0.0001068584,0.0004431315,0.0001081642,0.0000412874,0.0001256265,0.00005000466,0.6657946,0.002171793,0.311633,0.01942636,0.00002434895],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02156042,0.00548285,0.9432507,0.0006459692,0.0003115347,0.00005358225,0.0003211154,0.0008972616,0.02747648],"genre_scores_gemma":[0.6363659,0.0103468,0.3158974,0.000330161,0.0003655186,0.0002580101,0.001455441,0.0006531968,0.03432761],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01080388,"threshold_uncertainty_score":0.03614259,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0165629859999896,"score_gpt":0.2554649911040864,"score_spread":0.2389020051040968,"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."}}