{"id":"W6929385955","doi":"10.48660/09010038","title":"The Kerr/CFT Correspondence","year":2009,"lang":"en","type":"other","venue":"PIRSA","topic":"Bioinformatics and Genomic Networks","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Perimeter Institute","funders":"","keywords":"Set (abstract data type); Sequence (biology); Feature (linguistics); Identification (biology); Relation (database)","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":[],"consensus_categories":[],"category_scores_codex":[0.0001247593,0.0001689631,0.0001156617,0.00002104498,0.00007467988,0.00004357054,0.0003567472,0.0003094321,0.0001720021],"category_scores_gemma":[0.00002337608,0.0001171952,0.00007999717,0.00003601037,0.00007357007,4.388223e-7,0.00008673214,0.0001304146,0.0002428666],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006412651,"about_ca_system_score_gemma":0.00005572573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000133704,"about_ca_topic_score_gemma":0.0001666894,"domain_scores_codex":[0.9993402,0.00002004986,0.0001394459,0.0001752269,0.00009462798,0.00023046],"domain_scores_gemma":[0.9992292,0.000008787625,0.0001817531,0.000512713,0.000015192,0.00005234455],"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":[0.0000145043,0.00000616237,0.000007725066,0.000005829526,0.00003042761,0.000001183254,0.000007944227,0.000002796765,0.0003523768,0.0002266059,0.9690652,0.03027928],"study_design_scores_gemma":[0.0001102352,0.0000616161,0.00003619376,0.00002547954,0.000011009,0.000007034264,0.000009509503,0.00004992912,0.0001543164,0.000163526,0.9992059,0.0001652175],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00005193049,0.01214921,0.001452462,0.0002387592,0.0006867051,0.0002158258,0.00002717523,0.00003094486,0.985147],"genre_scores_gemma":[0.001627744,0.002766895,0.0003287914,0.0007450805,0.001130258,0.000009868314,0.0001050158,0.0001201164,0.9931662],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03014077,"threshold_uncertainty_score":0.4779083,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005916102163372798,"score_gpt":0.2255910801748021,"score_spread":0.2196749780114293,"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."}}