{"id":"W4391578166","doi":"10.1080/10920277.2023.2285976","title":"Measuring Discrete Risks on Infinite Domains: Theoretical Foundations, Conditional Five Number Summaries, and Data Analyses","year":2024,"lang":"en","type":"article","venue":"North American Actuarial Journal","topic":"Risk and Portfolio Optimization","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Mitacs","keywords":"Quantile; Estimator; Truncation (statistics); Mathematics; Inference; Poisson distribution; Applied mathematics; Computer science; Econometrics; Statistics; Artificial intelligence","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":[0.02291654,0.0007030985,0.001405987,0.003469225,0.0005961512,0.002978774,0.001681757,0.001192851,0.001741402],"category_scores_gemma":[0.1088031,0.0004394358,0.001281948,0.003296802,0.003253996,0.005719558,0.002261386,0.002641085,0.0002077656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001329247,"about_ca_system_score_gemma":0.001134979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001218088,"about_ca_topic_score_gemma":0.0006028064,"domain_scores_codex":[0.99113,0.005414028,0.0006024055,0.001164854,0.001488552,0.0002000481],"domain_scores_gemma":[0.8992977,0.08033384,0.00633886,0.01050169,0.002902544,0.0006253427],"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":[0.00009329758,0.00008169495,0.01696334,0.00026217,0.0002145016,0.0001765924,0.0005889782,0.1428068,0.0008582837,0.7345591,0.001356319,0.1020389],"study_design_scores_gemma":[0.00001505196,0.0001052563,0.004733533,0.00009705423,0.00004492844,0.0001278883,0.0001503059,0.3986036,0.0007677973,0.5931257,0.002177934,0.00005094013],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01651131,0.0002816985,0.9821342,0.000243839,0.00002050486,0.00002650102,0.0001107838,0.00009884069,0.0005723162],"genre_scores_gemma":[0.5412409,0.0008763529,0.4556987,0.0002279975,0.000161523,0.0003669178,0.0007130241,0.00006759861,0.0006469403],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02291654,"threshold_uncertainty_score":0.1211957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2329493930711319,"score_gpt":0.4694442616772288,"score_spread":0.2364948686060969,"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."}}