{"id":"W2773773736","doi":"10.48550/arxiv.1712.03040","title":"Approximation intensity for pairwise interaction Gibbs point processes using determinantal point processes","year":2017,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Point processes and geometric inequalities","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Determinantal point process; Pairwise comparison; Point process; Statistical physics; Point (geometry); Intensity (physics); Mathematics; Physics; Statistics; Quantum mechanics; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0007625521,0.0006730008,0.0009518199,0.0006627545,0.0006614518,0.0003708308,0.0009180224,0.0005213145,0.00003905004],"category_scores_gemma":[0.005357888,0.0007024461,0.0003389821,0.0005470706,0.0002047516,0.00139124,0.00097768,0.0006249498,0.00001330244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005357842,"about_ca_system_score_gemma":0.0009471632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002702135,"about_ca_topic_score_gemma":0.0002487818,"domain_scores_codex":[0.9972567,0.00007991892,0.0006406017,0.001213875,0.0001983954,0.0006105165],"domain_scores_gemma":[0.9940412,0.0007453968,0.001709506,0.001027764,0.002305782,0.0001703762],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.01683409,0.01096366,0.01656356,0.5850933,0.006101417,0.002136112,0.04535809,0.06775314,0.001316549,0.2212412,0.01206791,0.01457095],"study_design_scores_gemma":[0.001876202,0.0003887039,0.00008416668,0.004038461,0.001282369,0.000138136,0.006363892,0.1511174,0.01014801,0.8218054,0.0007042342,0.002052993],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6402651,0.0001277279,0.3562391,0.00008240245,0.0007285285,0.001297612,0.0001845978,0.0002803718,0.0007945319],"genre_scores_gemma":[0.9928483,0.0002594661,0.005004816,0.00004438115,0.0003376936,0.0000194929,0.0001236277,0.00008530696,0.00127695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6005642,"threshold_uncertainty_score":0.9995427,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2640297968143993,"score_gpt":0.2872999629674771,"score_spread":0.02327016615307775,"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."}}