{"id":"W4367369747","doi":"10.48550/arxiv.2304.14341","title":"A synthetic null energy condition","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Geometric Analysis and Curvature Flows","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Division of Mathematical Sciences; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Null (SQL); Geodesic; Mathematics; Energy condition; Ricci curvature; Curvature; General relativity; Differential geometry; Mathematical analysis; Limit (mathematics); Closed timelike curve; Pure mathematics; Convergence (economics); Dimension (graph theory); Closure (psychology); Boundary (topology); Limit of a sequence; Consistency (knowledge bases); Mathematical physics; Spacetime; Physics; Discrete mathematics; Geometry; Quantum mechanics","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":[0.001026122,0.0004292277,0.0004599053,0.001289568,0.001652375,0.001937375,0.0009567778,0.001442712,0.008584909],"category_scores_gemma":[0.003908783,0.0002690648,0.0005647151,0.0004991095,0.002537052,0.004025542,0.003315774,0.001694951,0.0008859336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001045295,"about_ca_system_score_gemma":0.000635973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005072136,"about_ca_topic_score_gemma":0.0004464096,"domain_scores_codex":[0.9992507,0.0001263045,0.00006261755,0.0001936012,0.000274474,0.00009221782],"domain_scores_gemma":[0.9987527,0.0002101393,0.0001595427,0.0002884069,0.0004030489,0.0001862166],"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":[0.00001084716,0.000005672039,0.0002305126,0.0000125476,0.000002880275,0.00007415205,0.00009556571,0.001604744,0.001544979,0.9942952,0.0002780825,0.0018447],"study_design_scores_gemma":[0.00001423631,0.0001025806,0.0007710026,0.0000282756,0.000008643964,0.0004287341,0.000254112,0.04288518,0.00526389,0.9371682,0.01304186,0.00003317475],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3631453,0.000397271,0.4656319,0.002004989,0.0004009424,0.0001028272,0.0004959573,0.0003252053,0.1674955],"genre_scores_gemma":[0.9351482,0.0001695121,0.03857816,0.0003174478,0.00007676379,0.0001157618,0.0003403056,0.0001597975,0.02509403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008584909,"threshold_uncertainty_score":0.02871943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1347219574747051,"score_gpt":0.2160115975900466,"score_spread":0.08128964011534148,"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."}}