{"id":"W4395444018","doi":"10.48550/arxiv.2404.14300","title":"Linear Search for an Escaping Target with Unknown Speed","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Guidance and Control Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Algorithm","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002002232,0.0003205853,0.0003736709,0.0002086344,0.00006987799,0.00008213399,0.0004390154,0.0002538497,0.00001812239],"category_scores_gemma":[0.000003577941,0.0003313814,0.0001625951,0.000262028,0.0000413671,0.0001161445,0.0002052972,0.0005628439,0.00008669704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001779912,"about_ca_system_score_gemma":0.00009211013,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001175648,"about_ca_topic_score_gemma":0.0000948204,"domain_scores_codex":[0.9986977,0.00003713287,0.0001642178,0.0006214993,0.00007443223,0.0004049908],"domain_scores_gemma":[0.9991201,0.00004019745,0.00003569983,0.0005619245,0.00009081154,0.0001513302],"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":[0.00006163009,0.00001850217,0.0002799878,0.000806873,0.0002673353,0.0001002041,0.0002257744,0.9892204,0.0004147666,0.008103682,0.0003184845,0.0001823975],"study_design_scores_gemma":[0.0005539423,0.00009784907,0.00005339834,0.000321491,0.0001302332,0.000003454488,0.0002359684,0.9915205,0.0005581888,0.002903214,0.003162979,0.0004587737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8750667,0.0006388471,0.111114,0.00002668301,0.001004219,0.001030195,0.0001125761,0.001026686,0.009980069],"genre_scores_gemma":[0.9970223,0.0000518534,0.0003931416,0.00001307034,0.0004751007,0.000003146137,0.00006736891,0.00009234634,0.00188162],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1219557,"threshold_uncertainty_score":0.9999138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06556156932387126,"score_gpt":0.1908388598216522,"score_spread":0.125277290497781,"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."}}