{"id":"W2489705503","doi":"10.1090/coll/057/11","title":"The beta-sieve","year":2010,"lang":"en","type":"book-chapter","venue":"Colloquium Publications - American Mathematical Society/Colloquium Publications","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sieve (category theory); BETA (programming language); Mathematics; Computer science; Combinatorics","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":[0.0003588122,0.001221939,0.001109491,0.001527828,0.001496108,0.003102692,0.0008997254,0.00101224,0.02927156],"category_scores_gemma":[0.001507244,0.000556438,0.0006635212,0.001137693,0.002721321,0.004319597,0.002306502,0.004236143,0.01515221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007903855,"about_ca_system_score_gemma":0.000487686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003701999,"about_ca_topic_score_gemma":0.0002827985,"domain_scores_codex":[0.9996579,0.00006763906,0.00001181387,0.00008404966,0.0001269487,0.00005173895],"domain_scores_gemma":[0.9997693,0.00005593486,0.00001860365,0.00006000912,0.00005437096,0.00004185286],"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":[0.00001665334,0.000008763325,0.00004641652,0.00002791989,0.000005915002,0.0000217604,0.00006962026,0.0002325665,0.0002509753,0.9578578,0.01740214,0.02405942],"study_design_scores_gemma":[0.00000792893,0.00001304893,0.0001043946,0.00003353881,0.000004774381,0.0001285177,0.00003674547,0.0008492672,0.0003231856,0.9247772,0.07371194,0.000009451202],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.01366508,0.006726798,0.0575476,0.002661562,0.002119557,0.00002632813,0.0002269087,0.0004803762,0.9165457],"genre_scores_gemma":[0.259539,0.008821685,0.0241357,0.002694457,0.002949354,0.0001597424,0.0005973569,0.001018697,0.7000839],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02927156,"threshold_uncertainty_score":0.09792304,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674135697967826,"score_gpt":0.2845151441940257,"score_spread":0.2577737872143474,"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."}}