{"id":"W4245709092","doi":"10.1002/9780470012505.tat007","title":"Thinned Distributions","year":2004,"lang":"en","type":"other","venue":"Encyclopedia of Actuarial Science","topic":"Statistical Distribution Estimation and Applications","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Deductible; Closure (psychology); Thinning; Parametric statistics; Payment; Mathematics; Computer science; Statistics; Economics; Actuarial science; Geography; World Wide Web; Forestry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005797723,0.0004860376,0.0008139004,0.001941836,0.001372137,0.003469942,0.001480642,0.00114955,0.01604346],"category_scores_gemma":[0.02056399,0.000426701,0.001207032,0.001481603,0.003913632,0.004250985,0.00209876,0.003735152,0.002112329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001345817,"about_ca_system_score_gemma":0.00102511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009277173,"about_ca_topic_score_gemma":0.0005611622,"domain_scores_codex":[0.9968947,0.0009223756,0.0002029584,0.0006889083,0.0009747022,0.0003163402],"domain_scores_gemma":[0.9876487,0.005406471,0.001483047,0.002623775,0.002208691,0.000629248],"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":[0.00003019614,0.00001750558,0.0003807517,0.00002580216,0.0000105252,0.0002399652,0.0001090591,0.007222839,0.0005314845,0.9785866,0.002343518,0.01050176],"study_design_scores_gemma":[0.00001436443,0.0000248604,0.0004127837,0.0000764494,0.000008387413,0.0005050513,0.00007275233,0.04381666,0.0009107551,0.9395255,0.0146141,0.00001837554],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05283568,0.001650666,0.8288923,0.002201685,0.0006979007,0.0001175725,0.0006351988,0.0003344943,0.1126345],"genre_scores_gemma":[0.7525316,0.00276975,0.1674209,0.001485099,0.001279553,0.0003028464,0.001073169,0.0005197305,0.07261724],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01604346,"threshold_uncertainty_score":0.0536707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02764088532227976,"score_gpt":0.3462046778743116,"score_spread":0.3185637925520318,"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."}}