{"id":"W2029839230","doi":"10.1016/j.spl.2014.01.027","title":"Type II bivariate Pólya–Aeppli distribution","year":2014,"lang":"en","type":"article","venue":"Statistics & Probability Letters","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Mathematics; Bivariate analysis; Conditional probability distribution; Geometric distribution; Poisson distribution; Distribution (mathematics); Type (biology); Statistics; Probability distribution; Combinatorics; Mathematical analysis","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":[0.0005919227,0.000232152,0.0002819143,0.00003252002,0.0004315277,0.00006814566,0.0002267653,0.00008463844,0.0006593738],"category_scores_gemma":[0.004989256,0.0002281465,0.00005608526,0.0003373334,0.0002869162,0.0000807286,0.00009350883,0.0002210367,0.000272634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001850232,"about_ca_system_score_gemma":0.00004992105,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000242454,"about_ca_topic_score_gemma":0.0000122376,"domain_scores_codex":[0.9980587,0.0001706965,0.0005740558,0.0004382258,0.0003701873,0.0003880827],"domain_scores_gemma":[0.9976268,0.001103218,0.0001912696,0.0005872797,0.0003050116,0.0001864231],"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":[0.00001660765,0.0001733334,0.0001147646,0.00008126775,0.0000160578,6.879066e-7,0.00005806184,0.00000669919,0.0005663745,0.9279779,0.06807274,0.002915564],"study_design_scores_gemma":[0.0003602326,0.00007211271,0.006085841,0.00001757415,0.00006621825,0.000003332594,0.000002234073,0.005724008,0.0001595054,0.9706697,0.01656758,0.0002716496],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01604483,0.000002374082,0.9761335,0.00355503,0.0002225896,0.0005149641,0.002549359,0.0002469079,0.0007304391],"genre_scores_gemma":[0.4179452,0.000002153339,0.5783131,0.001001499,0.0001119055,0.0001085359,0.002351139,0.00003053703,0.0001359324],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4019004,"threshold_uncertainty_score":0.9303542,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04966736937335803,"score_gpt":0.3261890736784144,"score_spread":0.2765217043050563,"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."}}