{"id":"W2910904350","doi":"10.1007/s00184-020-00765-3","title":"The median of a jittered Poisson distribution","year":2020,"lang":"en","type":"preprint","venue":"Metrika","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":"Natural Sciences and Engineering Research Council of Canada; Agence Nationale de la Recherche","keywords":"Lambda; Poisson distribution; Mathematics; Estimator; Distribution (mathematics); Combinatorics; Random variable; Simple (philosophy); Statistics; Mathematical analysis; Physics; Quantum mechanics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005577695,0.001131444,0.002199876,0.00345126,0.001324215,0.005568636,0.003516315,0.002399285,0.005388627],"category_scores_gemma":[0.02926632,0.001140396,0.001309908,0.002623003,0.005085219,0.007955369,0.002910729,0.003652792,0.0006113138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003074015,"about_ca_system_score_gemma":0.001509553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002377524,"about_ca_topic_score_gemma":0.001090193,"domain_scores_codex":[0.9976277,0.0007258417,0.0001461011,0.0006450213,0.0005302922,0.0003252037],"domain_scores_gemma":[0.9817665,0.0127928,0.001892828,0.0008561399,0.001576096,0.001115555],"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":[0.0001586149,0.00002826591,0.001168911,0.00009665496,0.00004448802,0.0001773544,0.0002593471,0.03958997,0.001821649,0.9497933,0.0009291411,0.00593226],"study_design_scores_gemma":[0.00002561122,0.00005452899,0.0007492861,0.00004144571,0.00003545425,0.0002054978,0.0001198231,0.3245516,0.001074959,0.6715919,0.001499001,0.00005086264],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1579796,0.002121283,0.8265055,0.002021442,0.0003089684,0.00005097432,0.000491984,0.0003058885,0.01021437],"genre_scores_gemma":[0.9162657,0.002806638,0.06107664,0.0004016778,0.0008802657,0.0002060713,0.0005303547,0.000218378,0.01761422],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005577695,"threshold_uncertainty_score":0.02949804,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1385712484749798,"score_gpt":0.3585744782082484,"score_spread":0.2200032297332686,"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."}}