{"id":"W2039885551","doi":"","title":"Temperature of a Black Hole in a De Sitter Spacetime","year":2002,"lang":"en","type":"preprint","venue":"viXra","topic":"Diverse Scientific and Engineering Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"de Sitter–Schwarzschild metric; Physics; De Sitter universe; Black hole (networking); RADIUS; Cosmological constant; Metric expansion of space; Hubble's law; White hole; Hubble volume; Mathematical physics; Universe; Theoretical physics; Spacetime; Cosmology; Astrophysics; Schwarzschild radius; Quantum mechanics; Dark energy","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":[0.0001863481,0.0001569319,0.0002246942,0.0002644099,0.000007734388,0.00004892113,0.0002662341,0.0002583979,0.0005429413],"category_scores_gemma":[0.00001909202,0.0001625249,0.00007721703,0.0002166248,0.00004842017,0.00003202067,0.0001698406,0.000666438,0.0002359569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009890144,"about_ca_system_score_gemma":0.0000225899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003050089,"about_ca_topic_score_gemma":0.000004491565,"domain_scores_codex":[0.9991212,0.00001309733,0.000148673,0.0001991809,0.0002051533,0.0003126575],"domain_scores_gemma":[0.9995243,0.0000158606,0.0000136697,0.0003468542,0.00002576261,0.00007353976],"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":[0.000002887781,0.00002765216,0.0002842973,0.0007727702,0.00003266969,0.00004490258,0.00134273,0.9420189,0.01303009,0.00002341219,0.04200631,0.000413405],"study_design_scores_gemma":[0.0007141965,0.00002933154,0.006540406,0.001093817,0.00002333853,0.000003519316,0.0002603992,0.9457207,0.01333319,0.0002286605,0.03126126,0.000791154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9751919,0.0003989894,0.0002485774,0.00008337911,0.0005172604,0.0001938984,0.00007997629,0.0001622229,0.0231238],"genre_scores_gemma":[0.9923767,0.0001278283,0.0007999381,0.000008619113,0.00007381387,0.00001298336,0.00001379564,0.00003390908,0.006552419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01718479,"threshold_uncertainty_score":0.6627573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0126632339418213,"score_gpt":0.2167772295254154,"score_spread":0.2041139955835941,"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."}}