{"id":"W6892134536","doi":"10.48660/24110084","title":"Towards realistic tensor network holography using loop gravity","year":2024,"lang":"en","type":"other","venue":"PIRSA","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Tensor (intrinsic definition); Loop (graph theory); Work (physics); Holography; Noise (video)","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004529842,0.0006723162,0.0008092143,0.0007295979,0.00006060008,0.000132205,0.0004592028,0.000668938,0.00210642],"category_scores_gemma":[0.00008385824,0.0006232562,0.0004065898,0.001488684,0.0003181859,0.00002778897,0.0002266611,0.0007072739,0.01840391],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001640413,"about_ca_system_score_gemma":0.0001154952,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003602977,"about_ca_topic_score_gemma":0.0007102534,"domain_scores_codex":[0.9971506,0.000186862,0.0003448126,0.000962673,0.0005097479,0.0008452873],"domain_scores_gemma":[0.9983659,0.00002437794,0.000309511,0.001045679,0.00005708631,0.0001974448],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000128549,0.00004221491,0.0003902824,0.0002835371,0.0003717561,0.0003156389,0.00002947563,0.00006778776,0.00004907805,0.001032294,0.997026,0.0003791228],"study_design_scores_gemma":[0.0001975932,0.00003391039,0.0005163699,0.001135913,0.000985434,0.00005238096,0.000009144307,0.0002093323,0.000002096135,0.005118035,0.9909247,0.0008151166],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0001714396,0.01504114,0.0003924757,0.00006087673,0.003248113,0.0007193268,0.002413888,0.002816348,0.9751364],"genre_scores_gemma":[0.00396975,0.0002607789,0.0108701,0.0003993945,0.01004041,0.00007813118,0.0006645708,0.01075096,0.9629659],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01629749,"threshold_uncertainty_score":0.9996219,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04027294515968535,"score_gpt":0.3072516276157931,"score_spread":0.2669786824561077,"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."}}