{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.004246566,0.002915622,0.003051172,0.001277463,0.006794501,0.00496657,0.008406171,0.002119837,0.009099958],"category_scores_gemma":[0.004084852,0.002503239,0.003994843,0.005641973,0.0133601,0.001660478,0.002114562,0.006095166,0.02511652],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002553754,"about_ca_system_score_gemma":0.005113181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000724733,"about_ca_topic_score_gemma":0.0004162946,"domain_scores_codex":[0.9837567,0.0003505628,0.004568544,0.003672127,0.004144108,0.003507983],"domain_scores_gemma":[0.9698385,0.005791665,0.005266941,0.01060171,0.0060303,0.002470899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000163903,0.0005057125,0.00002710717,0.00007033492,0.00108456,7.761753e-7,0.0004474143,0.000002747712,0.000604441,0.6201108,0.3759314,0.00119833],"study_design_scores_gemma":[0.0006653665,0.0001728764,0.0003653486,0.00009318426,0.001234078,0.0001070543,0.0006610258,0.0005266827,0.00009601656,0.1287391,0.8649797,0.002359564],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00008215258,0.0006940886,0.007470628,0.08911633,0.0008376933,0.006904529,0.003339487,0.00468139,0.8868737],"genre_scores_gemma":[0.001980828,0.0006491984,0.03541951,0.002153318,0.001747493,0.01172158,0.002990459,0.001770716,0.9415669],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.4913717,"threshold_uncertainty_score":0.9991756,"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."}}