{"id":"W4375957433","doi":"10.48550/arxiv.2305.03887","title":"Ring wormholes and time machines","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Computability, Logic, AI Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts; Grantová Agentura České Republiky","keywords":"Wormhole; Ring (chemistry); Computer science; Physics; Chemistry; Theoretical 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":["metaepi_narrow","open_science"],"consensus_categories":[],"category_scores_codex":[0.0004422577,0.0003724876,0.0004073953,0.0003412937,0.0001837035,0.0002640615,0.001950478,0.0002391732,0.00002214473],"category_scores_gemma":[0.0000636704,0.0004162685,0.0001671532,0.0006507739,0.000158708,0.0003334298,0.008113253,0.0005623805,0.0003031619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001548202,"about_ca_system_score_gemma":0.0001102975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002122224,"about_ca_topic_score_gemma":0.00004584392,"domain_scores_codex":[0.9975365,0.0001479508,0.0002109479,0.001539194,0.0001156067,0.0004497449],"domain_scores_gemma":[0.9978751,0.000277798,0.0001666052,0.001360416,0.0001073671,0.0002127107],"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":[0.00006065731,0.0004017315,0.05570143,0.0006818899,0.0004883601,0.002845249,0.001526416,0.5666388,0.000160989,0.3171574,0.00126874,0.05306843],"study_design_scores_gemma":[0.000225727,0.00002721449,0.01313219,0.00005933389,0.00002652659,0.000008086824,0.000009413655,0.8322506,0.00001708408,0.1536513,0.0001786059,0.0004139634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.305919,0.0001543443,0.6881653,0.0003694644,0.001034511,0.0005308817,0.00001734643,0.00151499,0.002294142],"genre_scores_gemma":[0.9869084,0.000138771,0.008661218,0.00005983173,0.0001545087,0.000001615546,0.00001004763,0.00003206646,0.004033574],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6809894,"threshold_uncertainty_score":0.9999089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07746721931481082,"score_gpt":0.1881506269698397,"score_spread":0.1106834076550289,"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."}}