{"id":"W4297818525","doi":"","title":"A concentration inequality for inhomogeneous Neymann-Scott point processes","year":2019,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Point processes and geometric inequalities","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Inequality; Point (geometry); Mathematical economics; Mathematics; Statistical physics; Econometrics; Physics; Mathematical analysis; Geometry","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":["metaresearch","metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.007528237,0.0005303348,0.0007945467,0.0002268783,0.0003265625,0.0005635468,0.001173875,0.0004883041,0.0001237925],"category_scores_gemma":[0.01786213,0.0005357073,0.0003103057,0.000617128,0.0001649398,0.0002478564,0.0009518267,0.0005646894,0.00002719768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001929967,"about_ca_system_score_gemma":0.001090549,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004946159,"about_ca_topic_score_gemma":0.0009035768,"domain_scores_codex":[0.9944927,0.002178535,0.001135268,0.0009874096,0.0006203805,0.0005856855],"domain_scores_gemma":[0.9838538,0.006423003,0.001262817,0.002039062,0.00624337,0.0001779323],"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":[0.000158085,0.002286974,0.001591555,0.02406788,0.0005070596,0.000007832917,0.04383776,0.0002474601,0.0007922808,0.8929708,0.01054839,0.02298392],"study_design_scores_gemma":[0.002926249,0.000006660697,0.0002993348,0.008162146,0.0004257109,0.00003833737,0.001488353,0.01893064,0.1388994,0.7926069,0.03383447,0.002381739],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1670473,0.002678492,0.7953652,0.007660848,0.0005573303,0.002521782,0.0006713604,0.0005227548,0.02297489],"genre_scores_gemma":[0.9181575,0.000776096,0.0679739,0.0002611065,0.0001076177,0.0004812806,0.001196585,0.0001121359,0.01093378],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7511102,"threshold_uncertainty_score":0.9997094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04646698841685091,"score_gpt":0.2918460647787385,"score_spread":0.2453790763618876,"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."}}