{"id":"W4315589162","doi":"10.48550/arxiv.2301.03534","title":"The one-visibility Localization game","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Optimization and Search Problems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Upper and lower bounds; Visibility; Combinatorics; Isoperimetric inequality; Mathematics; Constant (computer programming); Multiplicative function; Order (exchange); Discrete mathematics; Tree (set theory); Computer science; Mathematical analysis; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.0006902759,0.0001810093,0.00017149,0.0001358939,0.0003389288,0.0003617581,0.002068086,0.0001895219,0.00001878736],"category_scores_gemma":[0.0001246405,0.0001695194,0.000130891,0.0008731199,0.0001463497,0.0002873555,0.002390949,0.0004459806,0.0003148169],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001761201,"about_ca_system_score_gemma":0.0002315234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001135232,"about_ca_topic_score_gemma":0.0001185236,"domain_scores_codex":[0.9981571,0.0002783971,0.0002016805,0.0008784331,0.0001513131,0.0003330453],"domain_scores_gemma":[0.9976746,0.0002141136,0.0001637761,0.001521642,0.0002859298,0.0001398774],"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":[0.000006457564,0.00003602332,0.0008663709,0.00002906116,0.00003052356,0.00001829726,0.0001649274,0.7337252,0.00000130697,0.2638848,0.0006372189,0.0005998409],"study_design_scores_gemma":[0.0001522368,0.00001824546,0.0008172399,0.00002968407,0.000009539092,3.099253e-7,0.00002644383,0.8698425,0.00001295129,0.1271566,0.001760422,0.0001737606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002493937,0.00002503983,0.9936353,0.000716944,0.0005821838,0.0003847348,0.000005923028,0.0005502522,0.0016057],"genre_scores_gemma":[0.9901044,0.0006740357,0.001086561,0.0001346693,0.0000492558,0.000001951646,0.00002307024,0.0000184885,0.007907569],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9925487,"threshold_uncertainty_score":0.6912802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1579026367432911,"score_gpt":0.2196236257247924,"score_spread":0.06172098898150127,"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."}}