{"id":"W2504489367","doi":"10.1090/coll/057/07","title":"Selberg’s sieve—Kvadrater er positive","year":2010,"lang":"en","type":"book-chapter","venue":"Colloquium Publications - American Mathematical Society/Colloquium Publications","topic":"Education, Healthcare and Sociology Research","field":"Psychology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sieve (category theory); Mathematics; 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":[0.002309554,0.001044954,0.0009996464,0.002702614,0.00509999,0.006379894,0.001199037,0.002861584,0.04280332],"category_scores_gemma":[0.01086694,0.0006689599,0.0008202536,0.001550442,0.01287663,0.009886659,0.005715413,0.00641966,0.01962815],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00346756,"about_ca_system_score_gemma":0.002806445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002620308,"about_ca_topic_score_gemma":0.003260707,"domain_scores_codex":[0.9970416,0.0007988347,0.0001819196,0.0005279452,0.0009365154,0.0005131695],"domain_scores_gemma":[0.9979054,0.0008110386,0.0001458391,0.0003644578,0.0006154289,0.0001579693],"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":[0.00002891119,0.0000119423,0.0001213626,0.00004321881,0.000009294297,0.00009401754,0.0007863461,0.0001177265,0.0000766086,0.9051959,0.06720345,0.02631115],"study_design_scores_gemma":[0.00001219755,0.00001175125,0.0001209496,0.00009424246,0.00001000735,0.0003618889,0.0005517097,0.0001575272,0.0002061242,0.760219,0.2382356,0.00001888604],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.00479377,0.006034745,0.01359882,0.02803336,0.00479982,0.0000376662,0.0002125892,0.0002638438,0.9422253],"genre_scores_gemma":[0.3566206,0.004991501,0.006679322,0.01029844,0.00264999,0.0001539584,0.0002179819,0.0005918044,0.6177964],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.04280332,"threshold_uncertainty_score":0.1431913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05299183534071773,"score_gpt":0.3949830833890527,"score_spread":0.341991248048335,"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."}}