{"id":"W4282821942","doi":"10.3390/a15060206","title":"Correction: Filion, G.J. Analytic Combinatorics for Computing Seeding Probabilities. Algorithms 2018, 11, 3","year":2022,"lang":"en","type":"article","venue":"Algorithms","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Seeding; Computer science; Algorithm; Combinatorics; Mathematics; Physics","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":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001608679,0.0003965403,0.0004741965,0.0004303594,0.001617657,0.0005741974,0.002203073,0.00007104305,0.00009110286],"category_scores_gemma":[0.0001335925,0.0004372433,0.0002515615,0.001931913,0.00009030278,0.001156638,0.002043888,0.0004025138,0.00003260998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004403753,"about_ca_system_score_gemma":0.0001380171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000119009,"about_ca_topic_score_gemma":0.000005196496,"domain_scores_codex":[0.9962038,0.0001388907,0.0006660094,0.001161068,0.0009348126,0.0008953567],"domain_scores_gemma":[0.9977257,0.00046214,0.0003249725,0.001050128,0.0002388432,0.000198229],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002206141,0.0009683323,0.001306392,0.000190634,0.0002931763,0.0001389782,0.002240968,0.01068588,0.00003224645,0.0654892,0.5643861,0.354246],"study_design_scores_gemma":[0.0008899694,0.0003232918,0.0001916718,0.0000172857,0.00003608928,0.00007543017,0.0006192434,0.8318706,0.00005465917,0.005926021,0.1594881,0.000507726],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006628363,0.0002404419,0.9773709,0.001548112,0.01637589,0.001154647,0.00009274148,0.0008087225,0.001745692],"genre_scores_gemma":[0.1762031,0.0001119136,0.7187554,0.00379105,0.004593069,0.001846451,0.001477488,0.0003664758,0.09285507],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8211847,"threshold_uncertainty_score":0.999808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02457639784319254,"score_gpt":0.2545848241560057,"score_spread":0.2300084263128132,"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."}}