{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009974098,0.0008414633,0.0009403197,0.0004223182,0.001289336,0.002204307,0.002252951,0.001269742,0.01068458],"category_scores_gemma":[0.006124722,0.0005161788,0.0006773507,0.0005904315,0.002389626,0.00664629,0.003674284,0.003016823,0.001099883],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001597966,"about_ca_system_score_gemma":0.001265788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002457337,"about_ca_topic_score_gemma":0.002407842,"domain_scores_codex":[0.9985088,0.0004320772,0.00006064792,0.0004007371,0.0002090013,0.0003886524],"domain_scores_gemma":[0.9964104,0.001864728,0.0002560425,0.0006798382,0.0002222576,0.0005666967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004606969,0.0001735178,0.001553768,0.0002139547,0.00004542068,0.0003513157,0.0006751124,0.06176506,0.01020983,0.8759092,0.008441751,0.04020025],"study_design_scores_gemma":[0.000125637,0.0002364816,0.0008796997,0.00005327991,0.00004429415,0.0004088443,0.000470316,0.3366723,0.007101791,0.6375483,0.01639612,0.00006293265],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1985053,0.0003717138,0.7509146,0.002659534,0.0001146584,0.0002479456,0.0007897803,0.0008267522,0.04556974],"genre_scores_gemma":[0.8829859,0.0002844947,0.09906621,0.0004531142,0.00006305487,0.0002744799,0.0004897583,0.0002228327,0.01616018],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01068458,"threshold_uncertainty_score":0.03574347,"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."}}