{"id":"W2001295690","doi":"10.1007/s11009-008-9095-1","title":"On the Number of i.i.d. Samples Required to Observe All of the Balls in an Urn","year":2008,"lang":"en","type":"article","venue":"Methodology And Computing In Applied Probability","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Combinatorics; Type (biology); Markov chain; Random variable; Large deviations theory; Statistics","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":[0.02866813,0.002553588,0.005077722,0.001844229,0.002158997,0.003928203,0.007313599,0.003989141,0.01486831],"category_scores_gemma":[0.1601894,0.002205598,0.002369619,0.002559505,0.004700346,0.01043725,0.007553544,0.007489345,0.002295595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004038066,"about_ca_system_score_gemma":0.006740678,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006452986,"about_ca_topic_score_gemma":0.01128699,"domain_scores_codex":[0.9833777,0.00837481,0.001534686,0.002344598,0.00335211,0.001016164],"domain_scores_gemma":[0.7755847,0.2009939,0.004064902,0.008448248,0.007458642,0.003449673],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.007089453,0.0005404897,0.01273207,0.002051737,0.0007809141,0.0005638094,0.001146042,0.4973267,0.008220694,0.2600517,0.01908884,0.1904075],"study_design_scores_gemma":[0.000423118,0.0004116773,0.002961728,0.0002720668,0.0001999835,0.0004318783,0.0003003803,0.869864,0.003525653,0.1180817,0.003416487,0.0001114837],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.052627,0.003041351,0.9223601,0.01040167,0.0006782764,0.0007742028,0.001658016,0.001348082,0.007111283],"genre_scores_gemma":[0.3943969,0.003247076,0.577175,0.003226992,0.001404643,0.002528517,0.004193714,0.001190289,0.01263687],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02866813,"threshold_uncertainty_score":0.1516134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2205466821436644,"score_gpt":0.3569695720804086,"score_spread":0.1364228899367442,"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."}}