{"id":"W2118516644","doi":"10.1177/0278364907081234","title":"Randomized Algorithms for Minimum Distance Localization","year":2007,"lang":"en","type":"article","venue":"The International Journal of Robotics Research","topic":"Robotics and Sensor-Based Localization","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Visibility; Robot; Mobile robot; Computer science; Computer vision; Randomized algorithm; Artificial intelligence; Algorithm; Geography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005429459,0.00008975791,0.0002107314,0.0002937621,0.00009699909,0.0001213678,0.0005692219,0.00006034481,0.00001388961],"category_scores_gemma":[0.0007845534,0.00006199183,0.0001391673,0.0002233335,0.0001521417,0.0001060966,0.00003159535,0.0002772314,0.000005642989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001991647,"about_ca_system_score_gemma":0.00005660613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005322926,"about_ca_topic_score_gemma":0.00001217654,"domain_scores_codex":[0.9979099,0.0000919682,0.0005856173,0.00007437458,0.001086685,0.0002514253],"domain_scores_gemma":[0.996133,0.001592956,0.0001136497,0.0001206116,0.001962144,0.00007758232],"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":[0.003795052,0.00003112038,0.00002315982,0.00001482064,0.0001552391,0.00001486297,0.0002188198,0.9721656,0.0004970853,0.01713784,0.002865417,0.003080981],"study_design_scores_gemma":[0.01549823,0.00004567357,0.00001355386,0.00005896499,0.00001924236,0.00002920392,0.0001544527,0.9694241,0.00295347,0.007251592,0.004473854,0.00007763976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001601286,0.0003882429,0.9944323,0.001334205,0.00128939,0.0002635293,0.000004640112,0.00001569184,0.0006706993],"genre_scores_gemma":[0.9832303,0.0005819006,0.01457721,0.00009854862,0.001092068,0.000005228367,0.00001672172,0.00004064322,0.0003574057],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.981629,"threshold_uncertainty_score":0.2527953,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06769751147505591,"score_gpt":0.3732269499479815,"score_spread":0.3055294384729256,"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."}}